tflite_custom_model.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rnkJfHtNTLly",
        "outputId": "df16a21e-94cc-42ca-fd5b-ee834566143a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "env: PYTHONPATH=# /env/python\n"
          ]
        }
      ],
      "source": [
        "%env PYTHONPATH = # /env/python"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i7Lps10tUN6D",
        "outputId": "6bd3c03a-3305-4cfc-a626-1ebc53f8f247"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-04-24 06:20:53--  https://repo.anaconda.com/miniconda/Miniconda3-py39_23.3.1-0-Linux-x86_64.sh\n",
            "Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.32.241, 104.16.191.158, 2606:4700::6810:20f1, ...\n",
            "Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.32.241|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 70605094 (67M) [application/x-sh]\n",
            "Saving to: ‘Miniconda3-py39_23.3.1-0-Linux-x86_64.sh’\n",
            "\n",
            "Miniconda3-py39_23. 100%[===================>]  67.33M   172MB/s    in 0.4s    \n",
            "\n",
            "2024-04-24 06:20:53 (172 MB/s) - ‘Miniconda3-py39_23.3.1-0-Linux-x86_64.sh’ saved [70605094/70605094]\n",
            "\n",
            "PREFIX=/usr/local\n",
            "Unpacking payload ...\n",
            "\n",
            "Installing base environment...\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "\n",
            "Preparing transaction: - \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "Executing transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "installation finished.\n",
            "WARNING:\n",
            "    You currently have a PYTHONPATH environment variable set. This may cause\n",
            "    unexpected behavior when running the Python interpreter in Miniconda3.\n",
            "    For best results, please verify that your PYTHONPATH only points to\n",
            "    directories of packages that are compatible with the Python interpreter\n",
            "    in Miniconda3: /usr/local\n",
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
            "Solving environment: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "\n",
            "\n",
            "==> WARNING: A newer version of conda exists. <==\n",
            "  current version: 23.3.1\n",
            "  latest version: 24.3.0\n",
            "\n",
            "Please update conda by running\n",
            "\n",
            "    $ conda update -n base -c defaults conda\n",
            "\n",
            "Or to minimize the number of packages updated during conda update use\n",
            "\n",
            "     conda install conda=24.3.0\n",
            "\n",
            "\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs:\n",
            "    - conda\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    brotli-python-1.0.9        |   py39h6a678d5_7         330 KB\n",
            "    ca-certificates-2024.3.11  |       h06a4308_0         127 KB\n",
            "    certifi-2024.2.2           |   py39h06a4308_0         159 KB\n",
            "    cffi-1.16.0                |   py39h5eee18b_0         251 KB\n",
            "    conda-package-handling-2.2.0|   py39h06a4308_0         267 KB\n",
            "    conda-package-streaming-0.9.0|   py39h06a4308_0          27 KB\n",
            "    cryptography-42.0.5        |   py39hdda0065_0         2.1 MB\n",
            "    jsonpatch-1.33             |   py39h06a4308_0          31 KB\n",
            "    libffi-3.4.4               |       h6a678d5_0         142 KB\n",
            "    openssl-3.0.13             |       h7f8727e_0         5.2 MB\n",
            "    packaging-23.2             |   py39h06a4308_0         145 KB\n",
            "    pycosat-0.6.6              |   py39h5eee18b_0          94 KB\n",
            "    pyopenssl-24.0.0           |   py39h06a4308_0          98 KB\n",
            "    python-3.9.19              |       h955ad1f_0        25.1 MB\n",
            "    requests-2.31.0            |   py39h06a4308_1          96 KB\n",
            "    sqlite-3.41.2              |       h5eee18b_0         1.2 MB\n",
            "    tzdata-2024a               |       h04d1e81_0         116 KB\n",
            "    urllib3-2.1.0              |   py39h06a4308_1         156 KB\n",
            "    xz-5.4.6                   |       h5eee18b_0         651 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:        36.2 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  brotli-python      pkgs/main/linux-64::brotli-python-1.0.9-py39h6a678d5_7 \n",
            "\n",
            "The following packages will be REMOVED:\n",
            "\n",
            "  brotlipy-0.7.0-py39h27cfd23_1003\n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "  ca-certificates                     2023.01.10-h06a4308_0 --> 2024.3.11-h06a4308_0 \n",
            "  certifi                          2022.12.7-py39h06a4308_0 --> 2024.2.2-py39h06a4308_0 \n",
            "  cffi                                1.15.1-py39h5eee18b_3 --> 1.16.0-py39h5eee18b_0 \n",
            "  conda-package-han~                   2.0.2-py39h06a4308_0 --> 2.2.0-py39h06a4308_0 \n",
            "  conda-package-str~                   0.7.0-py39h06a4308_0 --> 0.9.0-py39h06a4308_0 \n",
            "  cryptography                        39.0.1-py39h9ce1e76_0 --> 42.0.5-py39hdda0065_0 \n",
            "  jsonpatch          pkgs/main/noarch::jsonpatch-1.32-pyhd~ --> pkgs/main/linux-64::jsonpatch-1.33-py39h06a4308_0 \n",
            "  libffi                                   3.4.2-h6a678d5_6 --> 3.4.4-h6a678d5_0 \n",
            "  openssl                                 1.1.1t-h7f8727e_0 --> 3.0.13-h7f8727e_0 \n",
            "  packaging                             23.0-py39h06a4308_0 --> 23.2-py39h06a4308_0 \n",
            "  pycosat                              0.6.4-py39h5eee18b_0 --> 0.6.6-py39h5eee18b_0 \n",
            "  pyopenssl                           23.0.0-py39h06a4308_0 --> 24.0.0-py39h06a4308_0 \n",
            "  python                                  3.9.16-h7a1cb2a_2 --> 3.9.19-h955ad1f_0 \n",
            "  requests                            2.28.1-py39h06a4308_1 --> 2.31.0-py39h06a4308_1 \n",
            "  sqlite                                  3.41.1-h5eee18b_0 --> 3.41.2-h5eee18b_0 \n",
            "  tzdata                                   2023c-h04d1e81_0 --> 2024a-h04d1e81_0 \n",
            "  urllib3                            1.26.15-py39h06a4308_0 --> 2.1.0-py39h06a4308_1 \n",
            "  xz                                      5.2.10-h5eee18b_1 --> 5.4.6-h5eee18b_0 \n",
            "\n",
            "\n",
            "Proceed ([y]/n)? y\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "pycosat-0.6.6        | 94 KB     | :   0% 0/1 [00:00<?, ?it/s]\n",
            "conda-package-stream | 27 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "\n",
            "jsonpatch-1.33       | 31 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "packaging-23.2       | 145 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "requests-2.31.0      | 96 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-package-handli | 267 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "openssl-3.0.13       | 5.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cryptography-42.0.5  | 2.1 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "sqlite-3.41.2        | 1.2 MB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-python-1.0.9  | 330 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "xz-5.4.6             | 651 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2024.2.2     | 159 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "tzdata-2024a         | 116 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "ca-certificates-2024 | 127 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pyopenssl-24.0.0     | 98 KB     | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "urllib3-2.1.0        | 156 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libffi-3.4.4         | 142 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pycosat-0.6.6        | 94 KB     | :  17% 0.1709123531743548/1 [00:00<00:00,  1.54it/s]\n",
            "conda-package-stream | 27 KB     | :  59% 0.5901592104315251/1 [00:00<00:00,  5.08it/s]\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "requests-2.31.0      | 96 KB     | :  67% 0.6671960580701647/1 [00:00<00:00,  6.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "packaging-23.2       | 145 KB    | :  11% 0.11019046594210696/1 [00:00<00:00,  1.01it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "jsonpatch-1.33       | 31 KB     | :  52% 0.5152687360442809/1 [00:00<00:00,  4.05it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-package-handli | 267 KB    | :   6% 0.05985481991312576/1 [00:00<00:02,  2.32s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "openssl-3.0.13       | 5.2 MB    | :   0% 0.0029984738602587464/1 [00:00<00:47, 47.40s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cryptography-42.0.5  | 2.1 MB    | :   1% 0.007528657515009985/1 [00:00<00:19, 19.72s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-python-1.0.9  | 330 KB    | :   5% 0.04850451325259116/1 [00:00<00:03,  3.26s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "sqlite-3.41.2        | 1.2 MB    | :   1% 0.013323043970761513/1 [00:00<00:11, 12.13s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "xz-5.4.6             | 651 KB    | :   2% 0.024589524238331082/1 [00:00<00:07,  8.20s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2024.2.2     | 159 KB    | :  10% 0.10060668582516641/1 [00:00<00:01,  2.09s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "openssl-3.0.13       | 5.2 MB    | :  19% 0.19490080091681852/1 [00:00<00:00,  1.04s/it]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cryptography-42.0.5  | 2.1 MB    | :  56% 0.5571206561107389/1 [00:00<00:00,  2.69it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "tzdata-2024a         | 116 KB    | :  14% 0.13760088688071623/1 [00:00<00:01,  1.88s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "ca-certificates-2024 | 127 KB    | :  13% 0.12568368888991172/1 [00:00<00:01,  2.14s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :   0% 0.0006226008596102322/1 [00:00<07:43, 464.19s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pyopenssl-24.0.0     | 98 KB     | :  16% 0.1630768005733169/1 [00:00<00:01,  1.87s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "conda-package-stream | 27 KB     | : 100% 1.0/1 [00:00<00:00,  5.08it/s]               \u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "openssl-3.0.13       | 5.2 MB    | :  40% 0.39879702341441325/1 [00:00<00:00,  1.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "urllib3-2.1.0        | 156 KB    | :  10% 0.10263927781640951/1 [00:00<00:02,  3.29s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "libffi-3.4.4         | 142 KB    | :  11% 0.11271016207589224/1 [00:00<00:02,  3.00s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cryptography-42.0.5  | 2.1 MB    | :  88% 0.8808529292561683/1 [00:00<00:00,  2.76it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "cffi-1.16.0          | 251 KB    | :   6% 0.06371106038629497/1 [00:00<00:05,  6.01s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :   4% 0.04482726189193672/1 [00:00<00:06,  6.80s/it]   \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "requests-2.31.0      | 96 KB     | : 100% 1.0/1 [00:00<00:00,  6.39it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "pycosat-0.6.6        | 94 KB     | : 100% 1.0/1 [00:00<00:00,  2.14it/s]\n",
            "\n",
            "jsonpatch-1.33       | 31 KB     | : 100% 1.0/1 [00:00<00:00,  1.88it/s]               \u001b[A\u001b[A\n",
            "\n",
            "jsonpatch-1.33       | 31 KB     | : 100% 1.0/1 [00:00<00:00,  1.88it/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  12% 0.11518115902789297/1 [00:00<00:02,  3.13s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "openssl-3.0.13       | 5.2 MB    | :  94% 0.9415207921212464/1 [00:00<00:00,  2.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  20% 0.19923227507527433/1 [00:00<00:01,  2.08s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-package-handli | 267 KB    | : 100% 1.0/1 [00:00<00:00,  1.73it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "conda-package-handli | 267 KB    | : 100% 1.0/1 [00:00<00:00,  1.73it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "packaging-23.2       | 145 KB    | : 100% 1.0/1 [00:00<00:00,  1.48it/s]                \u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "packaging-23.2       | 145 KB    | : 100% 1.0/1 [00:00<00:00,  1.48it/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-python-1.0.9  | 330 KB    | : 100% 1.0/1 [00:00<00:00,  1.52it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "brotli-python-1.0.9  | 330 KB    | : 100% 1.0/1 [00:00<00:00,  1.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  28% 0.2770573825265534/1 [00:00<00:01,  1.75s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2024.2.2     | 159 KB    | : 100% 1.0/1 [00:00<00:00,  1.41it/s]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "certifi-2024.2.2     | 159 KB    | : 100% 1.0/1 [00:00<00:00,  1.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  35% 0.35052428396056073/1 [00:00<00:01,  1.63s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  47% 0.4675732455672844/1 [00:00<00:00,  1.29s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "sqlite-3.41.2        | 1.2 MB    | : 100% 1.0/1 [00:00<00:00,  1.14it/s]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "sqlite-3.41.2        | 1.2 MB    | : 100% 1.0/1 [00:00<00:00,  1.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  55% 0.5503791598954453/1 [00:01<00:00,  1.29s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  63% 0.6319398725043858/1 [00:01<00:00,  1.40s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "xz-5.4.6             | 651 KB    | : 100% 1.0/1 [00:01<00:00,  1.10s/it]                 \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "xz-5.4.6             | 651 KB    | : 100% 1.0/1 [00:01<00:00,  1.10s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "\n",
            "\n",
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            "\n",
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            "\n",
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            "\n",
            "ca-certificates-2024 | 127 KB    | : 100% 1.0/1 [00:01<00:00,  1.16s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "ca-certificates-2024 | 127 KB    | : 100% 1.0/1 [00:01<00:00,  1.16s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  71% 0.7072745765172238/1 [00:01<00:00,  1.47s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "\n",
            "pyopenssl-24.0.0     | 98 KB     | : 100% 1.0/1 [00:01<00:00,  1.24s/it]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "pyopenssl-24.0.0     | 98 KB     | : 100% 1.0/1 [00:01<00:00,  1.24s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  79% 0.7925708942838257/1 [00:01<00:00,  1.37s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "python-3.9.19        | 25.1 MB   | :  87% 0.8679055982966638/1 [00:01<00:00,  1.45s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "python-3.9.19        | 25.1 MB   | :  94% 0.9388820962922302/1 [00:01<00:00,  1.44s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "\n",
            "\n",
            "libffi-3.4.4         | 142 KB    | : 100% 1.0/1 [00:01<00:00,  1.64s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
            "libffi-3.4.4         | 142 KB    | : 100% 1.0/1 [00:01<00:00,  1.64s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "urllib3-2.1.0        | 156 KB    | : 100% 1.0/1 [00:01<00:00,  1.73s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "urllib3-2.1.0        | 156 KB    | : 100% 1.0/1 [00:01<00:00,  1.73s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "tzdata-2024a         | 116 KB    | : 100% 1.0/1 [00:01<00:00,  1.83s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "cffi-1.16.0          | 251 KB    | : 100% 1.0/1 [00:01<00:00,  1.84s/it]                \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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            "cffi-1.16.0          | 251 KB    | : 100% 1.0/1 [00:01<00:00,  1.84s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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            "cryptography-42.0.5  | 2.1 MB    | : 100% 1.0/1 [00:02<00:00,  2.76it/s]               \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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            "                                                                        \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "Preparing transaction: | \b\b/ \b\bdone\n",
            "Verifying transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Executing transaction: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n"
          ]
        }
      ],
      "source": [
        "!wget https://repo.anaconda.com/miniconda/Miniconda3-py39_23.3.1-0-Linux-x86_64.sh\n",
        "!chmod +x Miniconda3-py39_23.3.1-0-Linux-x86_64.sh\n",
        "!./Miniconda3-py39_23.3.1-0-Linux-x86_64.sh -b -f -p /usr/local\n",
        "!conda update conda"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "prxmhX6lU_hZ"
      },
      "outputs": [],
      "source": [
        "import sys\n",
        "sys.path.append('/usr/local/lib/python3.9/site-packages')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tyTJX0t4VEnT",
        "outputId": "5f2e4284-cfde-41a5-9256-426d95b0caf8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
            "Solving environment: - \b\bdone\n",
            "\n",
            "\n",
            "==> WARNING: A newer version of conda exists. <==\n",
            "  current version: 23.3.1\n",
            "  latest version: 24.3.0\n",
            "\n",
            "Please update conda by running\n",
            "\n",
            "    $ conda update -n base -c defaults conda\n",
            "\n",
            "Or to minimize the number of packages updated during conda update use\n",
            "\n",
            "     conda install conda=24.3.0\n",
            "\n",
            "\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local/envs/myenv\n",
            "\n",
            "  added / updated specs:\n",
            "    - python=3.9\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    pip-23.3.1                 |   py39h06a4308_0         2.6 MB\n",
            "    setuptools-68.2.2          |   py39h06a4308_0         948 KB\n",
            "    wheel-0.41.2               |   py39h06a4308_0         108 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:         3.6 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main \n",
            "  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu \n",
            "  ca-certificates    pkgs/main/linux-64::ca-certificates-2024.3.11-h06a4308_0 \n",
            "  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.38-h1181459_1 \n",
            "  libffi             pkgs/main/linux-64::libffi-3.4.4-h6a678d5_0 \n",
            "  libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 \n",
            "  libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 \n",
            "  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 \n",
            "  ncurses            pkgs/main/linux-64::ncurses-6.4-h6a678d5_0 \n",
            "  openssl            pkgs/main/linux-64::openssl-3.0.13-h7f8727e_0 \n",
            "  pip                pkgs/main/linux-64::pip-23.3.1-py39h06a4308_0 \n",
            "  python             pkgs/main/linux-64::python-3.9.19-h955ad1f_0 \n",
            "  readline           pkgs/main/linux-64::readline-8.2-h5eee18b_0 \n",
            "  setuptools         pkgs/main/linux-64::setuptools-68.2.2-py39h06a4308_0 \n",
            "  sqlite             pkgs/main/linux-64::sqlite-3.41.2-h5eee18b_0 \n",
            "  tk                 pkgs/main/linux-64::tk-8.6.12-h1ccaba5_0 \n",
            "  tzdata             pkgs/main/noarch::tzdata-2024a-h04d1e81_0 \n",
            "  wheel              pkgs/main/linux-64::wheel-0.41.2-py39h06a4308_0 \n",
            "  xz                 pkgs/main/linux-64::xz-5.4.6-h5eee18b_0 \n",
            "  zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_0 \n",
            "\n",
            "\n",
            "Proceed ([y]/n)? y\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "pip-23.3.1           | 2.6 MB    | :   0% 0/1 [00:00<?, ?it/s]\n",
            "wheel-0.41.2         | 108 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "\n",
            "setuptools-68.2.2    | 948 KB    | :   0% 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
            "\n",
            "setuptools-68.2.2    | 948 KB    | :   2% 0.016880888966735872/1 [00:00<00:22, 22.44s/it]\u001b[A\u001b[A\n",
            "pip-23.3.1           | 2.6 MB    | :  85% 0.8499595575368019/1 [00:00<00:00,  2.24it/s]  \n",
            "wheel-0.41.2         | 108 KB    | : 100% 1.0/1 [00:00<00:00,  2.23it/s]                \u001b[A\n",
            "wheel-0.41.2         | 108 KB    | : 100% 1.0/1 [00:00<00:00,  2.23it/s]\u001b[A\n",
            "\n",
            "setuptools-68.2.2    | 948 KB    | : 100% 1.0/1 [00:01<00:00,  1.05s/it]                 \u001b[A\u001b[A\n",
            "\n",
            "                                                                        \n",
            "                                                                        \u001b[A\n",
            "\n",
            "                                                                        \u001b[A\u001b[A\n",
            "Preparing transaction: | \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Verifying transaction: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "Executing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
            "#\n",
            "# To activate this environment, use\n",
            "#\n",
            "#     $ conda activate myenv\n",
            "#\n",
            "# To deactivate an active environment, use\n",
            "#\n",
            "#     $ conda deactivate\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!conda create -n myenv python=3.9\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1i-ginSmVN9v",
        "outputId": "cae49a28-8182-4e19-be61-e000a8396083"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting tf-models-official==2.3.0 (from tflite-model-maker)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 (from tflite-model-maker)\n",
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            "\u001b[?25hCollecting tflite-support>=0.4.2 (from tflite-model-maker)\n",
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            "Collecting tensorflowjs<3.19.0,>=2.4.0 (from tflite-model-maker)\n",
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            "Collecting matplotlib<3.5.0,>=3.0.3 (from tflite-model-maker)\n",
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            "Collecting tensorflow-addons>=0.11.2 (from tflite-model-maker)\n",
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            "Collecting neural-structured-learning>=1.3.1 (from tflite-model-maker)\n",
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            "Collecting tensorflow-model-optimization>=0.5 (from tflite-model-maker)\n",
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            "Collecting Cython>=0.29.13 (from tflite-model-maker)\n",
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            "Successfully built fire kaggle promise\n",
            "Installing collected packages: webencodings, text-unidecode, tensorflow-estimator, tensorboard-plugin-wit, sentencepiece, pytz, py-cpuinfo, libclang, keras, gin-config, flatbuffers, dm-tree, dataclasses, zipp, wrapt, urllib3, uritemplate, tzdata, typing-extensions, typeguard, tqdm, toml, threadpoolctl, termcolor, tensorflow-io-gcs-filesystem, tensorboard-data-server, six, PyYAML, python-slugify, pyparsing, pycparser, pybind11, pyasn1, psutil, protobuf, platformdirs, pillow, oauthlib, numpy, MarkupSafe, lxml, llvmlite, kiwisolver, joblib, idna, grpcio, google-crc32c, gast, fsspec, etils, decorator, Cython, cycler, click, charset-normalizer, certifi, cachetools, audioread, attrs, absl-py, werkzeug, tf-slim, tensorflow-model-optimization, tensorflow-hub, scipy, rsa, requests, python-dateutil, pyasn1-modules, proto-plus, promise, packaging, opt-einsum, opencv-python-headless, numba, keras-preprocessing, importlib_resources, importlib-metadata, httplib2, h5py, googleapis-common-protos, google-resumable-media, google-pasta, fire, CFFI, bleach, astunparse, tensorflow-metadata, tensorflow-addons, soundfile, sounddevice, scikit-learn, resampy, requests-oauthlib, pooch, pandas, neural-structured-learning, matplotlib, markdown, kaggle, grpcio-status, google-auth, tflite-support, librosa, google-auth-oauthlib, google-auth-httplib2, google-api-core, array-record, tensorflow-datasets, tensorboard, google-cloud-core, google-api-python-client, tensorflow, google-cloud-bigquery, tf-models-official, tensorflowjs, scann, tflite-model-maker\n",
            "Successfully installed CFFI-1.16.0 Cython-3.0.10 MarkupSafe-2.1.5 PyYAML-6.0.1 absl-py-1.4.0 array-record-0.5.1 astunparse-1.6.3 attrs-23.2.0 audioread-3.0.1 bleach-6.1.0 cachetools-5.3.3 certifi-2024.2.2 charset-normalizer-3.3.2 click-8.1.7 cycler-0.12.1 dataclasses-0.6 decorator-5.1.1 dm-tree-0.1.8 etils-1.5.2 fire-0.6.0 flatbuffers-24.3.25 fsspec-2024.3.1 gast-0.5.4 gin-config-0.5.0 google-api-core-2.18.0 google-api-python-client-2.127.0 google-auth-2.29.0 google-auth-httplib2-0.2.0 google-auth-oauthlib-0.4.6 google-cloud-bigquery-3.21.0 google-cloud-core-2.4.1 google-crc32c-1.5.0 google-pasta-0.2.0 google-resumable-media-2.7.0 googleapis-common-protos-1.63.0 grpcio-1.62.2 grpcio-status-1.48.2 h5py-3.11.0 httplib2-0.22.0 idna-3.7 importlib-metadata-7.1.0 importlib_resources-6.4.0 joblib-1.4.0 kaggle-1.6.12 keras-2.8.0 keras-preprocessing-1.1.2 kiwisolver-1.4.5 libclang-18.1.1 librosa-0.8.1 llvmlite-0.42.0 lxml-5.2.1 markdown-3.6 matplotlib-3.4.3 neural-structured-learning-1.4.0 numba-0.59.1 numpy-1.23.3 oauthlib-3.2.2 opencv-python-headless-4.9.0.80 opt-einsum-3.3.0 packaging-20.9 pandas-2.2.2 pillow-10.3.0 platformdirs-4.2.1 pooch-1.8.1 promise-2.3 proto-plus-1.23.0 protobuf-3.19.6 psutil-5.9.8 py-cpuinfo-9.0.0 pyasn1-0.6.0 pyasn1-modules-0.4.0 pybind11-2.12.0 pycparser-2.22 pyparsing-3.1.2 python-dateutil-2.9.0.post0 python-slugify-8.0.4 pytz-2024.1 requests-2.31.0 requests-oauthlib-2.0.0 resampy-0.4.3 rsa-4.9 scann-1.2.6 scikit-learn-1.4.2 scipy-1.13.0 sentencepiece-0.2.0 six-1.16.0 sounddevice-0.4.6 soundfile-0.12.1 tensorboard-2.8.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.8.4 tensorflow-addons-0.23.0 tensorflow-datasets-4.9.0 tensorflow-estimator-2.8.0 tensorflow-hub-0.12.0 tensorflow-io-gcs-filesystem-0.36.0 tensorflow-metadata-1.13.0 tensorflow-model-optimization-0.8.0 tensorflowjs-3.18.0 termcolor-2.4.0 text-unidecode-1.3 tf-models-official-2.3.0 tf-slim-1.1.0 tflite-model-maker-0.4.3 tflite-support-0.4.4 threadpoolctl-3.4.0 toml-0.10.2 tqdm-4.66.2 typeguard-2.13.3 typing-extensions-4.11.0 tzdata-2024.1 uritemplate-4.1.1 urllib3-1.25.11 webencodings-0.5.1 werkzeug-3.0.2 wrapt-1.16.0 zipp-3.18.1\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "pip install tflite-model-maker\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L9x7qiDMVvs7",
        "outputId": "72d5ac56-9951-4f8a-d89b-6eb74b258212"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: wcwidth, pure-eval, ptyprocess, traitlets, tornado, pyzmq, pygments, prompt-toolkit, pexpect, parso, nest-asyncio, executing, exceptiongroup, debugpy, asttokens, stack-data, matplotlib-inline, jupyter-core, jedi, comm, jupyter-client, ipython, ipykernel\n",
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            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
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          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "pip install ipykernel\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3kplk-ZGV05z",
        "outputId": "83d85d6f-7bd0-4b09-9898-4e87f8919627"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: numpy>=1.17.0 in /usr/local/envs/myenv/lib/python3.9/site-packages (from opencv-python) (1.23.3)\n",
            "Downloading opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (62.2 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.2/62.2 MB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: opencv-python\n",
            "Successfully installed opencv-python-4.9.0.80\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0mPython 3.9.19\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "pip install opencv-python\n",
        "python --version\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SOWuHh2tV7Ox",
        "outputId": "8cd47790-2bf8-4d81-8e1e-eb07d8f4a6f6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting numpy==1.23.4\n",
            "  Downloading numpy-1.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)\n",
            "Downloading numpy-1.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.1/17.1 MB\u001b[0m \u001b[31m59.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: numpy\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.23.3\n",
            "    Uninstalling numpy-1.23.3:\n",
            "      Successfully uninstalled numpy-1.23.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tflite-model-maker 0.4.3 requires numpy<1.23.4,>=1.17.3, but you have numpy 1.23.4 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed numpy-1.23.4\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "pip install numpy==1.23.4"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "01VE11RRV_8U",
        "outputId": "8457c9dd-1f4a-44da-f9e5-24478999526a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pycocotools\n",
            "  Downloading pycocotools-2.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.1 kB)\n",
            "Requirement already satisfied: matplotlib>=2.1.0 in /usr/local/envs/myenv/lib/python3.9/site-packages (from pycocotools) (3.4.3)\n",
            "Requirement already satisfied: numpy in /usr/local/envs/myenv/lib/python3.9/site-packages (from pycocotools) (1.23.4)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/envs/myenv/lib/python3.9/site-packages (from matplotlib>=2.1.0->pycocotools) (0.12.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/envs/myenv/lib/python3.9/site-packages (from matplotlib>=2.1.0->pycocotools) (1.4.5)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/envs/myenv/lib/python3.9/site-packages (from matplotlib>=2.1.0->pycocotools) (10.3.0)\n",
            "Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/envs/myenv/lib/python3.9/site-packages (from matplotlib>=2.1.0->pycocotools) (3.1.2)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/envs/myenv/lib/python3.9/site-packages (from matplotlib>=2.1.0->pycocotools) (2.9.0.post0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/envs/myenv/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib>=2.1.0->pycocotools) (1.16.0)\n",
            "Downloading pycocotools-2.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m435.1/435.1 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pycocotools\n",
            "Successfully installed pycocotools-2.0.7\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "pip install pycocotools"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iiNoFPUwlRGA",
        "outputId": "59b874d4-1d11-4c4d-8faa-2a439105ddf4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n",
            "'20BAI1042_DA_report (1).gdoc'\n",
            " 20BAI1042_DA_report.gdoc\n",
            "'21bai1161_MATLAB (1).gdoc'\n",
            " 21bai1161_MATLAB.gdoc\n",
            " 21BAI1217_CompilerLab3.gdoc\n",
            " 21BAI1217_EXP10_IOT.gdoc\n",
            " 21BAI1217_FFCS.gdoc\n",
            " 21BAI1217_IoTLab1.gdoc\n",
            " 21BAI1217_MV_DA_report.gdoc\n",
            " 21BAI1217.pdf\n",
            " 21BAI1217_ProjectTitle_DeepLearning.gdoc\n",
            " 21BAI1217_ProjectTitle.gdoc\n",
            "'25 Python Projects for Beginners – Easy Ideas to Get Started Coding Python'\n",
            "'9 Job Portals To Help You Land A Data Science Job - Analytics India Magazine'\n",
            "'aadhar card (1).pdf'\n",
            "'aadhar card.pdf'\n",
            " Abhishek_jha_Resume.gdoc\n",
            "'Application To verify KYC.gdoc'\n",
            "'Audio Denoising Review.gdoc'\n",
            " AWS\n",
            " BVS_DRAFT1.drawio\n",
            "'Cancelled_cheque (1).pdf'\n",
            " Cancelled_cheque.pdf\n",
            " CAT2\n",
            " Certificates\n",
            " cghs.gdoc\n",
            " ChatGPT_SRS.gdoc\n",
            " Classroom\n",
            "'CN DA1.gdoc'\n",
            "'Colab Notebooks'\n",
            "'competitive coding guide.gdoc'\n",
            "'CONTENT DEPARTMENT TASKS.gdoc'\n",
            " ContentForOfflineEvent.gdoc\n",
            "'Copy of Chronological Resume Template.gdoc'\n",
            "'Copy of Editable Name Card for Final Report.gdraw'\n",
            "'Copy of Functional Resume Template.gdoc'\n",
            "'Copy of TRC_Performance Report.xlsx'\n",
            "'Cover letter that will surely get you hired at JP Morgan! (with a free sample)    D2C'\n",
            "'Create Your Pet Profile.gform'\n",
            "'Create Your Pet Profile (Responses).gsheet'\n",
            " CRYING_IN_PAIN.gdoc\n",
            "'C++ Session 1.pdf'\n",
            "'C++ Session 2.pdf'\n",
            "'C++ Session 3.pdf'\n",
            " CV_MainakChattopadhyay.gdoc\n",
            " CV_MainakChattopadhyay.pdf\n",
            "'DBMS LOR.gdoc'\n",
            "'Denoising .gsheet'\n",
            " DL_Extra.gdoc\n",
            "'ESD .gdoc'\n",
            "'Experiment 6,7,8,9,10 IOT.gdoc'\n",
            "'Field trip.gslides'\n",
            " FINAL450.xlsx\n",
            " Firebase-Intro.gdoc\n",
            " F.R.I.E.N.D.S.gsite\n",
            "'FYI Tanmay Tandon .gdoc'\n",
            " GATSBY.gdoc\n",
            " getforms\n",
            "'Guideline for Blogs.gdoc'\n",
            "'Guidelines to reset the devices and error correction -.gdoc'\n",
            "'hackclub - RAT Caption .gdoc'\n",
            "'Highest Paying AI Certifications Available in 2021'\n",
            "'HMT-architects - INTERNSHIP OFFER LETTER.gdoc'\n",
            "'Hospitality Partnership.gdoc'\n",
            "'How to Find an Internship as a College Student? - GeeksforGeeks'\n",
            " HSM_21BAI1217.gdoc\n",
            " HSM_Assignment.gdoc\n",
            " HSM_Mainak.gdoc\n",
            "'https:  www.fre.txt'\n",
            " IATA-WAGE.pdf\n",
            "'IMP_Points&Suggestions .gdoc'\n",
            " Index_IOT.gdoc\n",
            "'INFYINITE Mail.gdoc'\n",
            "'Internship Presentation_21BAI1217.gslides'\n",
            "'< Intern - Technology and Device Management ><Mainak Chattopadhyay>'\n",
            "' Intern - Technology and Device Management_MainakChattopadhyay.gdoc'\n",
            "'In this paper, we propose a solution that converts the wavelet into Wavelet Objects, a tree data structure, where each tree node has specific properties such as data, path, node_name, parent, level, max level, and mode.gdoc'\n",
            "'Introduction to Alteryx.gdoc'\n",
            " iot_project.zip\n",
            "'JEE resources'\n",
            "'JS DOM Manipulation.gdoc'\n",
            " Letter.gdoc\n",
            "' love babbar document links.gdoc'\n",
            " MachineVision_Report.gdoc\n",
            " Maiank_Chatterjee_resume.pdf\n",
            "'MAINAK CHATTOPADHYAY 21BAI1217_TOC_DA3.gslides'\n",
            " Mainak_Chattopadhyay.pdf\n",
            " Mainak_Docs_Merged.pdf\n",
            " Mainak.png\n",
            "'Mainak-Resume (1).gdoc'\n",
            "'Mainak_Resume (1).pdf'\n",
            "'Mainak_Resume (2).pdf'\n",
            "'Mainak_Resume (3).pdf'\n",
            "'Mainak_Resume (4).pdf'\n",
            " Mainak-Resume.gdoc\n",
            "'Mainak-Resume_New (1).pdf'\n",
            " Mainak-Resume.pdf\n",
            " Mainak_Resume.pdf\n",
            "'Marketing_Management Notes.gdoc'\n",
            "'Meet The Winners Of TheMathCompany’s Data Scientist Hiring Hackathon'\n",
            " Merged_IoT_Final.gdoc\n",
            " MergeResult_2024_04_19_04_16_29.gdoc\n",
            " ML_LOR.gdoc\n",
            "'Module 3 complete notes.pdf'\n",
            "'Module 4 complete notes.pdf'\n",
            "'Module 4 upto problems on ODEs by using LT.pdf'\n",
            "\"Module 5 upto Fourier series and Euler's formulae for various intervals.pdf\"\n",
            "'Module 5 upto problems on Fourier series for various intervals.pdf'\n",
            "'MPMC EXP 11.gdoc'\n",
            "'My Drive'\n",
            "'MyGov Internship – Innovate India'\n",
            " NDA_merged.pdf\n",
            " NDA.pdf\n",
            " offer_letter.pdf\n",
            "'Personal Documents'\n",
            " picofme-_2_.jpeg\n",
            " planet_simulation_basics.pdf\n",
            "'PowerPoint DATA FLOW.gdoc'\n",
            "'PREPARATION HANDBOOK FOR TCS IN 10 DAYS.gdoc'\n",
            "'Problem Statement ZS.gdoc'\n",
            "'Proposed Plan of Action_HMT.gdoc'\n",
            "'Registrations DB.xlsx'\n",
            "'Research  (Responses).gsheet'\n",
            "'Resume (1).gdoc'\n",
            "'resume (1).pdf'\n",
            " Resume.gdoc\n",
            " resume.pdf\n",
            "'Rod Cutting Problem.gdoc'\n",
            " Screenshot_2022-12-27-19-51-21-82.jpg\n",
            " Screenshot_2023-12-31-11-45-30-99.jpg\n",
            " SDE-SHEET.gdoc\n",
            "'Security Vulnerabilities and Prevention in HTML5-compressed.pdf'\n",
            "'Security Vulnerabilities and Prevention in HTML5.pdf'\n",
            "'Semantic Analysis in NLP.gdoc'\n",
            "'SEO Optimization.gdoc'\n",
            " Software_Draft2.gdoc\n",
            " Software-JournalPaper.gdoc\n",
            " Software_Project_Doc.gdoc\n",
            " SoftwareSRS.gdoc\n",
            " SOP.gdoc\n",
            " SOP.pdf\n",
            "'SVD - Draft.gdoc'\n",
            "'System Admin Intern:.gdoc'\n",
            "'System Admin Intern_.pdf'\n",
            " TFI_Device_Reset\n",
            "'The Best Way to Learn Python – Python Programming Tutorial for Beginners'\n",
            "'Top 101 Java Interview Questions And Answers That IT Companies Ask!    D2C'\n",
            "'Top 10 YouTube Channels Offering Free Data Science Learning'\n",
            "'Top 3 free Python courses for software developers | TechGig'\n",
            "'TRC Blogs - July 2023.gsheet'\n",
            "'TRC Techcast.gdoc'\n",
            " UNet.gdoc\n",
            " Untitled0.ipynb\n",
            "'Untitled document (1).gdoc'\n",
            "'Untitled document (2).gdoc'\n",
            "'Untitled document (3).gdoc'\n",
            "'Untitled document.gdoc'\n",
            "'Untitled form (1).gform'\n",
            "'Untitled form (2).gform'\n",
            "'Untitled form.gform'\n",
            " VIT_ID.pdf\n",
            " webRTC.gdoc\n",
            "'What Google Recommends You do Before Taking Their Machine Learning or Data Science Course - KDnuggets'\n",
            "'WhatsApp Image 2023-12-31 at 11.57.19 AM (1).jpeg'\n",
            "'WhatsApp Image 2023-12-31 at 11.57.19 AM (2).jpeg'\n",
            "'WhatsApp Image 2023-12-31 at 11.57.19 AM.jpeg'\n",
            "'WhatsApp Image 2023-12-31 at 12.05.28 PM (1).jpeg'\n",
            "'WhatsApp Image 2023-12-31 at 12.05.28 PM.jpeg'\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')\n",
        "!ln -s /content/gdrive/My\\ Drive/ /mydrive\n",
        "!ls /mydrive\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vXcZcfLZbScY",
        "outputId": "a03c8314-5ce4-4d1a-b272-dee1c98e6767"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /mydrive/iot_project.zip\n",
            "   creating: iot_project/train/\n",
            "  inflating: iot_project/train/image37.jpeg  \n",
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            "   creating: iot_project/validate/\n",
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          ]
        }
      ],
      "source": [
        "!unzip /mydrive/iot_project.zip\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PFrWbYq-yt8c",
        "outputId": "6fffe2c0-31c1-437d-e16e-3f8655daaba8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2024-04-24 06:25:49.355453: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2024-04-24 06:25:49.355510: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
            "/usr/local/envs/myenv/lib/python3.9/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning: \n",
            "\n",
            "TensorFlow Addons (TFA) has ended development and introduction of new features.\n",
            "TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.\n",
            "Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP). \n",
            "\n",
            "For more information see: https://github.com/tensorflow/addons/issues/2807 \n",
            "\n",
            "  warnings.warn(\n",
            "/usr/local/envs/myenv/lib/python3.9/site-packages/tensorflow_addons/utils/ensure_tf_install.py:53: UserWarning: Tensorflow Addons supports using Python ops for all Tensorflow versions above or equal to 2.13.0 and strictly below 2.16.0 (nightly versions are not supported). \n",
            " The versions of TensorFlow you are currently using is 2.8.4 and is not supported. \n",
            "Some things might work, some things might not.\n",
            "If you were to encounter a bug, do not file an issue.\n",
            "If you want to make sure you're using a tested and supported configuration, either change the TensorFlow version or the TensorFlow Addons's version. \n",
            "You can find the compatibility matrix in TensorFlow Addon's readme:\n",
            "https://github.com/tensorflow/addons\n",
            "  warnings.warn(\n",
            "2024-04-24 06:25:58.188896: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2024-04-24 06:25:58.188973: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)\n",
            "2024-04-24 06:25:58.189026: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (61f55687b2c5): /proc/driver/nvidia/version does not exist\n",
            "2024-04-24 06:25:58.189916: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
            "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2024-04-24 06:26:16.362385: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "Epoch 1/200\n",
            "2024-04-24 06:26:59.869818: W tensorflow/core/framework/cpu_allocator_impl.cc:82] Allocation of 28311552 exceeds 10% of free system memory.\n",
            "2024-04-24 06:26:59.918452: W tensorflow/core/framework/cpu_allocator_impl.cc:82] Allocation of 113246208 exceeds 10% of free system memory.\n",
            "2024-04-24 06:27:00.411350: W tensorflow/core/framework/cpu_allocator_impl.cc:82] Allocation of 24883200 exceeds 10% of free system memory.\n",
            "2024-04-24 06:27:00.425004: W tensorflow/core/framework/cpu_allocator_impl.cc:82] Allocation of 24883200 exceeds 10% of free system memory.\n",
            "2024-04-24 06:27:00.644137: W tensorflow/core/framework/cpu_allocator_impl.cc:82] Allocation of 24883200 exceeds 10% of free system memory.\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.8456 - cls_loss: 1.1450 - box_loss: 0.0140 - reg_l2_loss: 0.0631 - loss: 1.9088 - learning_rate: 0.0066 - gradient_norm: 2.36332024-04-24 06:27:56.217042: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 126s 5s/step - det_loss: 1.8415 - cls_loss: 1.1444 - box_loss: 0.0139 - reg_l2_loss: 0.0631 - loss: 1.9046 - learning_rate: 0.0065 - gradient_norm: 2.3892 - val_det_loss: 1.7699 - val_cls_loss: 1.1321 - val_box_loss: 0.0128 - val_reg_l2_loss: 0.0631 - val_loss: 1.8330\n",
            "Epoch 2/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.7901 - cls_loss: 1.1120 - box_loss: 0.0136 - reg_l2_loss: 0.0631 - loss: 1.8532 - learning_rate: 0.0050 - gradient_norm: 3.07352024-04-24 06:29:12.024864: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 3s/step - det_loss: 1.7825 - cls_loss: 1.1113 - box_loss: 0.0134 - reg_l2_loss: 0.0631 - loss: 1.8457 - learning_rate: 0.0050 - gradient_norm: 3.1035 - val_det_loss: 1.6806 - val_cls_loss: 1.0813 - val_box_loss: 0.0120 - val_reg_l2_loss: 0.0632 - val_loss: 1.7438\n",
            "Epoch 3/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.7319 - cls_loss: 1.0858 - box_loss: 0.0129 - reg_l2_loss: 0.0632 - loss: 1.7950 - learning_rate: 0.0050 - gradient_norm: 3.10882024-04-24 06:30:19.043519: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 78s 5s/step - det_loss: 1.7399 - cls_loss: 1.0886 - box_loss: 0.0130 - reg_l2_loss: 0.0632 - loss: 1.8030 - learning_rate: 0.0050 - gradient_norm: 3.1967 - val_det_loss: 1.5907 - val_cls_loss: 1.0082 - val_box_loss: 0.0116 - val_reg_l2_loss: 0.0632 - val_loss: 1.6539\n",
            "Epoch 4/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.7258 - cls_loss: 1.0446 - box_loss: 0.0136 - reg_l2_loss: 0.0632 - loss: 1.7890 - learning_rate: 0.0050 - gradient_norm: 3.82472024-04-24 06:31:31.222331: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 1.7128 - cls_loss: 1.0403 - box_loss: 0.0135 - reg_l2_loss: 0.0632 - loss: 1.7760 - learning_rate: 0.0050 - gradient_norm: 3.7523 - val_det_loss: 1.4996 - val_cls_loss: 0.9526 - val_box_loss: 0.0109 - val_reg_l2_loss: 0.0632 - val_loss: 1.5627\n",
            "Epoch 5/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.6378 - cls_loss: 0.9797 - box_loss: 0.0132 - reg_l2_loss: 0.0632 - loss: 1.7010 - learning_rate: 0.0050 - gradient_norm: 4.27982024-04-24 06:32:34.028546: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 83s 5s/step - det_loss: 1.6212 - cls_loss: 0.9710 - box_loss: 0.0130 - reg_l2_loss: 0.0632 - loss: 1.6844 - learning_rate: 0.0050 - gradient_norm: 4.2343 - val_det_loss: 1.4285 - val_cls_loss: 0.9035 - val_box_loss: 0.0105 - val_reg_l2_loss: 0.0632 - val_loss: 1.4917\n",
            "Epoch 6/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.4695 - cls_loss: 0.9115 - box_loss: 0.0112 - reg_l2_loss: 0.0632 - loss: 1.5327 - learning_rate: 0.0050 - gradient_norm: 4.48672024-04-24 06:33:51.322704: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 68s 4s/step - det_loss: 1.4677 - cls_loss: 0.9133 - box_loss: 0.0111 - reg_l2_loss: 0.0632 - loss: 1.5309 - learning_rate: 0.0050 - gradient_norm: 4.4812 - val_det_loss: 1.3094 - val_cls_loss: 0.8243 - val_box_loss: 0.0097 - val_reg_l2_loss: 0.0632 - val_loss: 1.3726\n",
            "Epoch 7/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.4353 - cls_loss: 0.8653 - box_loss: 0.0114 - reg_l2_loss: 0.0632 - loss: 1.4986 - learning_rate: 0.0050 - gradient_norm: 5.08562024-04-24 06:35:02.655560: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 1.4212 - cls_loss: 0.8571 - box_loss: 0.0113 - reg_l2_loss: 0.0632 - loss: 1.4844 - learning_rate: 0.0050 - gradient_norm: 5.0697 - val_det_loss: 1.2598 - val_cls_loss: 0.7914 - val_box_loss: 0.0094 - val_reg_l2_loss: 0.0632 - val_loss: 1.3230\n",
            "Epoch 8/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.3274 - cls_loss: 0.8060 - box_loss: 0.0104 - reg_l2_loss: 0.0632 - loss: 1.3907 - learning_rate: 0.0050 - gradient_norm: 5.91642024-04-24 06:36:02.930459: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 3s/step - det_loss: 1.3239 - cls_loss: 0.8036 - box_loss: 0.0104 - reg_l2_loss: 0.0632 - loss: 1.3872 - learning_rate: 0.0050 - gradient_norm: 6.0409 - val_det_loss: 1.2102 - val_cls_loss: 0.7157 - val_box_loss: 0.0099 - val_reg_l2_loss: 0.0633 - val_loss: 1.2735\n",
            "Epoch 9/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.2540 - cls_loss: 0.7571 - box_loss: 0.0099 - reg_l2_loss: 0.0633 - loss: 1.3173 - learning_rate: 0.0050 - gradient_norm: 5.87632024-04-24 06:37:02.529418: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 1.2607 - cls_loss: 0.7580 - box_loss: 0.0101 - reg_l2_loss: 0.0633 - loss: 1.3239 - learning_rate: 0.0050 - gradient_norm: 5.8603 - val_det_loss: 1.0499 - val_cls_loss: 0.6425 - val_box_loss: 0.0081 - val_reg_l2_loss: 0.0633 - val_loss: 1.1131\n",
            "Epoch 10/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.2112 - cls_loss: 0.7127 - box_loss: 0.0100 - reg_l2_loss: 0.0633 - loss: 1.2745 - learning_rate: 0.0050 - gradient_norm: 5.17552024-04-24 06:38:01.252671: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 1.2269 - cls_loss: 0.7211 - box_loss: 0.0101 - reg_l2_loss: 0.0633 - loss: 1.2902 - learning_rate: 0.0050 - gradient_norm: 5.1858 - val_det_loss: 1.0150 - val_cls_loss: 0.5987 - val_box_loss: 0.0083 - val_reg_l2_loss: 0.0633 - val_loss: 1.0783\n",
            "Epoch 11/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.2426 - cls_loss: 0.7139 - box_loss: 0.0106 - reg_l2_loss: 0.0633 - loss: 1.3060 - learning_rate: 0.0050 - gradient_norm: 6.23602024-04-24 06:39:13.996954: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 1.2442 - cls_loss: 0.7142 - box_loss: 0.0106 - reg_l2_loss: 0.0633 - loss: 1.3075 - learning_rate: 0.0050 - gradient_norm: 6.4343 - val_det_loss: 1.0227 - val_cls_loss: 0.6045 - val_box_loss: 0.0084 - val_reg_l2_loss: 0.0633 - val_loss: 1.0860\n",
            "Epoch 12/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.1762 - cls_loss: 0.6864 - box_loss: 0.0098 - reg_l2_loss: 0.0634 - loss: 1.2395 - learning_rate: 0.0050 - gradient_norm: 6.18412024-04-24 06:40:19.394474: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 1.1653 - cls_loss: 0.6782 - box_loss: 0.0097 - reg_l2_loss: 0.0634 - loss: 1.2287 - learning_rate: 0.0050 - gradient_norm: 6.1629 - val_det_loss: 0.9972 - val_cls_loss: 0.6275 - val_box_loss: 0.0074 - val_reg_l2_loss: 0.0634 - val_loss: 1.0606\n",
            "Epoch 13/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.1442 - cls_loss: 0.6939 - box_loss: 0.0090 - reg_l2_loss: 0.0634 - loss: 1.2076 - learning_rate: 0.0050 - gradient_norm: 6.59852024-04-24 06:41:19.343298: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 1.1264 - cls_loss: 0.6864 - box_loss: 0.0088 - reg_l2_loss: 0.0634 - loss: 1.1897 - learning_rate: 0.0050 - gradient_norm: 6.5987 - val_det_loss: 0.9485 - val_cls_loss: 0.5702 - val_box_loss: 0.0076 - val_reg_l2_loss: 0.0634 - val_loss: 1.0119\n",
            "Epoch 14/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.0640 - cls_loss: 0.6326 - box_loss: 0.0086 - reg_l2_loss: 0.0634 - loss: 1.1274 - learning_rate: 0.0049 - gradient_norm: 6.31182024-04-24 06:42:23.583534: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 1.0774 - cls_loss: 0.6412 - box_loss: 0.0087 - reg_l2_loss: 0.0634 - loss: 1.1409 - learning_rate: 0.0049 - gradient_norm: 6.3475 - val_det_loss: 0.9165 - val_cls_loss: 0.5703 - val_box_loss: 0.0069 - val_reg_l2_loss: 0.0634 - val_loss: 0.9800\n",
            "Epoch 15/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.2434 - cls_loss: 0.7405 - box_loss: 0.0101 - reg_l2_loss: 0.0635 - loss: 1.3069 - learning_rate: 0.0049 - gradient_norm: 6.75662024-04-24 06:43:22.687466: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 74s 4s/step - det_loss: 1.2493 - cls_loss: 0.7441 - box_loss: 0.0101 - reg_l2_loss: 0.0635 - loss: 1.3128 - learning_rate: 0.0049 - gradient_norm: 6.7056 - val_det_loss: 0.9231 - val_cls_loss: 0.5483 - val_box_loss: 0.0075 - val_reg_l2_loss: 0.0635 - val_loss: 0.9866\n",
            "Epoch 16/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 1.1264 - cls_loss: 0.6910 - box_loss: 0.0087 - reg_l2_loss: 0.0635 - loss: 1.1899 - learning_rate: 0.0049 - gradient_norm: 7.44982024-04-24 06:44:39.812636: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 1.1264 - cls_loss: 0.6904 - box_loss: 0.0087 - reg_l2_loss: 0.0635 - loss: 1.1899 - learning_rate: 0.0049 - gradient_norm: 7.4172 - val_det_loss: 0.8722 - val_cls_loss: 0.5347 - val_box_loss: 0.0067 - val_reg_l2_loss: 0.0635 - val_loss: 0.9357\n",
            "Epoch 17/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9178 - cls_loss: 0.5367 - box_loss: 0.0076 - reg_l2_loss: 0.0635 - loss: 0.9814 - learning_rate: 0.0049 - gradient_norm: 5.93292024-04-24 06:45:41.051707: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.9081 - cls_loss: 0.5339 - box_loss: 0.0075 - reg_l2_loss: 0.0635 - loss: 0.9717 - learning_rate: 0.0049 - gradient_norm: 5.8148 - val_det_loss: 0.8366 - val_cls_loss: 0.4594 - val_box_loss: 0.0075 - val_reg_l2_loss: 0.0636 - val_loss: 0.9002\n",
            "Epoch 18/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9639 - cls_loss: 0.5627 - box_loss: 0.0080 - reg_l2_loss: 0.0636 - loss: 1.0275 - learning_rate: 0.0049 - gradient_norm: 6.36272024-04-24 06:46:43.811023: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.9630 - cls_loss: 0.5630 - box_loss: 0.0080 - reg_l2_loss: 0.0636 - loss: 1.0266 - learning_rate: 0.0049 - gradient_norm: 6.5648 - val_det_loss: 0.8230 - val_cls_loss: 0.4942 - val_box_loss: 0.0066 - val_reg_l2_loss: 0.0636 - val_loss: 0.8866\n",
            "Epoch 19/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9921 - cls_loss: 0.5898 - box_loss: 0.0080 - reg_l2_loss: 0.0636 - loss: 1.0557 - learning_rate: 0.0049 - gradient_norm: 7.09892024-04-24 06:47:46.111329: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.9953 - cls_loss: 0.5982 - box_loss: 0.0079 - reg_l2_loss: 0.0636 - loss: 1.0589 - learning_rate: 0.0049 - gradient_norm: 7.1998 - val_det_loss: 0.7465 - val_cls_loss: 0.4214 - val_box_loss: 0.0065 - val_reg_l2_loss: 0.0636 - val_loss: 0.8101\n",
            "Epoch 20/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9343 - cls_loss: 0.5388 - box_loss: 0.0079 - reg_l2_loss: 0.0637 - loss: 0.9979 - learning_rate: 0.0049 - gradient_norm: 6.56202024-04-24 06:48:49.250898: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 85s 5s/step - det_loss: 0.9289 - cls_loss: 0.5357 - box_loss: 0.0079 - reg_l2_loss: 0.0637 - loss: 0.9926 - learning_rate: 0.0049 - gradient_norm: 6.4947 - val_det_loss: 0.8102 - val_cls_loss: 0.4439 - val_box_loss: 0.0073 - val_reg_l2_loss: 0.0637 - val_loss: 0.8739\n",
            "Epoch 21/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9051 - cls_loss: 0.5315 - box_loss: 0.0075 - reg_l2_loss: 0.0637 - loss: 0.9688 - learning_rate: 0.0049 - gradient_norm: 6.94002024-04-24 06:50:22.803932: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.8935 - cls_loss: 0.5273 - box_loss: 0.0073 - reg_l2_loss: 0.0637 - loss: 0.9571 - learning_rate: 0.0049 - gradient_norm: 6.7619 - val_det_loss: 0.7950 - val_cls_loss: 0.4621 - val_box_loss: 0.0067 - val_reg_l2_loss: 0.0637 - val_loss: 0.8587\n",
            "Epoch 22/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.9779 - cls_loss: 0.5772 - box_loss: 0.0080 - reg_l2_loss: 0.0637 - loss: 1.0416 - learning_rate: 0.0049 - gradient_norm: 7.00032024-04-24 06:51:25.557690: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.9950 - cls_loss: 0.5820 - box_loss: 0.0083 - reg_l2_loss: 0.0637 - loss: 1.0587 - learning_rate: 0.0049 - gradient_norm: 6.8937 - val_det_loss: 0.9583 - val_cls_loss: 0.5919 - val_box_loss: 0.0073 - val_reg_l2_loss: 0.0637 - val_loss: 1.0220\n",
            "Epoch 23/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8892 - cls_loss: 0.5188 - box_loss: 0.0074 - reg_l2_loss: 0.0638 - loss: 0.9529 - learning_rate: 0.0048 - gradient_norm: 6.11702024-04-24 06:52:27.776900: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.9088 - cls_loss: 0.5308 - box_loss: 0.0076 - reg_l2_loss: 0.0638 - loss: 0.9726 - learning_rate: 0.0048 - gradient_norm: 6.3328 - val_det_loss: 0.8767 - val_cls_loss: 0.5238 - val_box_loss: 0.0071 - val_reg_l2_loss: 0.0638 - val_loss: 0.9405\n",
            "Epoch 24/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8512 - cls_loss: 0.5092 - box_loss: 0.0068 - reg_l2_loss: 0.0638 - loss: 0.9150 - learning_rate: 0.0048 - gradient_norm: 6.39012024-04-24 06:53:28.665776: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.8461 - cls_loss: 0.5050 - box_loss: 0.0068 - reg_l2_loss: 0.0638 - loss: 0.9099 - learning_rate: 0.0048 - gradient_norm: 6.2807 - val_det_loss: 0.6756 - val_cls_loss: 0.3998 - val_box_loss: 0.0055 - val_reg_l2_loss: 0.0638 - val_loss: 0.7394\n",
            "Epoch 25/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8851 - cls_loss: 0.5140 - box_loss: 0.0074 - reg_l2_loss: 0.0638 - loss: 0.9489 - learning_rate: 0.0048 - gradient_norm: 6.90372024-04-24 06:54:29.417117: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 74s 5s/step - det_loss: 0.9277 - cls_loss: 0.5440 - box_loss: 0.0077 - reg_l2_loss: 0.0638 - loss: 0.9916 - learning_rate: 0.0048 - gradient_norm: 7.0757 - val_det_loss: 0.9079 - val_cls_loss: 0.4977 - val_box_loss: 0.0082 - val_reg_l2_loss: 0.0639 - val_loss: 0.9718\n",
            "Epoch 26/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8403 - cls_loss: 0.5022 - box_loss: 0.0068 - reg_l2_loss: 0.0639 - loss: 0.9042 - learning_rate: 0.0048 - gradient_norm: 8.02572024-04-24 06:55:48.722097: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.8298 - cls_loss: 0.4959 - box_loss: 0.0067 - reg_l2_loss: 0.0639 - loss: 0.8937 - learning_rate: 0.0048 - gradient_norm: 8.0619 - val_det_loss: 0.8713 - val_cls_loss: 0.5436 - val_box_loss: 0.0066 - val_reg_l2_loss: 0.0639 - val_loss: 0.9352\n",
            "Epoch 27/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8542 - cls_loss: 0.5307 - box_loss: 0.0065 - reg_l2_loss: 0.0639 - loss: 0.9181 - learning_rate: 0.0048 - gradient_norm: 7.11122024-04-24 06:56:50.507304: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.8451 - cls_loss: 0.5258 - box_loss: 0.0064 - reg_l2_loss: 0.0639 - loss: 0.9091 - learning_rate: 0.0048 - gradient_norm: 7.1514 - val_det_loss: 0.9189 - val_cls_loss: 0.5339 - val_box_loss: 0.0077 - val_reg_l2_loss: 0.0639 - val_loss: 0.9828\n",
            "Epoch 28/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7672 - cls_loss: 0.4578 - box_loss: 0.0062 - reg_l2_loss: 0.0640 - loss: 0.8311 - learning_rate: 0.0048 - gradient_norm: 6.12142024-04-24 06:57:50.887334: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.7486 - cls_loss: 0.4484 - box_loss: 0.0060 - reg_l2_loss: 0.0640 - loss: 0.8126 - learning_rate: 0.0048 - gradient_norm: 6.1310 - val_det_loss: 1.0305 - val_cls_loss: 0.6574 - val_box_loss: 0.0075 - val_reg_l2_loss: 0.0640 - val_loss: 1.0945\n",
            "Epoch 29/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8205 - cls_loss: 0.4828 - box_loss: 0.0068 - reg_l2_loss: 0.0640 - loss: 0.8845 - learning_rate: 0.0048 - gradient_norm: 6.01762024-04-24 06:58:51.477549: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 4s/step - det_loss: 0.8158 - cls_loss: 0.4795 - box_loss: 0.0067 - reg_l2_loss: 0.0640 - loss: 0.8798 - learning_rate: 0.0048 - gradient_norm: 6.1533 - val_det_loss: 0.7993 - val_cls_loss: 0.4685 - val_box_loss: 0.0066 - val_reg_l2_loss: 0.0640 - val_loss: 0.8633\n",
            "Epoch 30/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.8045 - cls_loss: 0.4533 - box_loss: 0.0070 - reg_l2_loss: 0.0640 - loss: 0.8686 - learning_rate: 0.0047 - gradient_norm: 6.58172024-04-24 06:59:51.382523: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 83s 5s/step - det_loss: 0.8016 - cls_loss: 0.4540 - box_loss: 0.0070 - reg_l2_loss: 0.0640 - loss: 0.8657 - learning_rate: 0.0047 - gradient_norm: 6.7238 - val_det_loss: 0.7207 - val_cls_loss: 0.4154 - val_box_loss: 0.0061 - val_reg_l2_loss: 0.0640 - val_loss: 0.7847\n",
            "Epoch 31/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7861 - cls_loss: 0.4648 - box_loss: 0.0064 - reg_l2_loss: 0.0640 - loss: 0.8501 - learning_rate: 0.0047 - gradient_norm: 7.54602024-04-24 07:01:15.215019: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.8007 - cls_loss: 0.4734 - box_loss: 0.0065 - reg_l2_loss: 0.0640 - loss: 0.8647 - learning_rate: 0.0047 - gradient_norm: 7.3881 - val_det_loss: 0.6831 - val_cls_loss: 0.3929 - val_box_loss: 0.0058 - val_reg_l2_loss: 0.0641 - val_loss: 0.7471\n",
            "Epoch 32/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7625 - cls_loss: 0.4543 - box_loss: 0.0062 - reg_l2_loss: 0.0641 - loss: 0.8266 - learning_rate: 0.0047 - gradient_norm: 6.10102024-04-24 07:02:16.184365: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.7697 - cls_loss: 0.4512 - box_loss: 0.0064 - reg_l2_loss: 0.0641 - loss: 0.8338 - learning_rate: 0.0047 - gradient_norm: 5.9879 - val_det_loss: 0.6949 - val_cls_loss: 0.3832 - val_box_loss: 0.0062 - val_reg_l2_loss: 0.0641 - val_loss: 0.7590\n",
            "Epoch 33/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7374 - cls_loss: 0.4272 - box_loss: 0.0062 - reg_l2_loss: 0.0641 - loss: 0.8016 - learning_rate: 0.0047 - gradient_norm: 6.34342024-04-24 07:03:17.928703: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.7376 - cls_loss: 0.4276 - box_loss: 0.0062 - reg_l2_loss: 0.0641 - loss: 0.8017 - learning_rate: 0.0047 - gradient_norm: 6.2947 - val_det_loss: 0.9115 - val_cls_loss: 0.5824 - val_box_loss: 0.0066 - val_reg_l2_loss: 0.0641 - val_loss: 0.9756\n",
            "Epoch 34/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7315 - cls_loss: 0.4272 - box_loss: 0.0061 - reg_l2_loss: 0.0641 - loss: 0.7956 - learning_rate: 0.0047 - gradient_norm: 5.79862024-04-24 07:04:17.601807: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 4s/step - det_loss: 0.7226 - cls_loss: 0.4213 - box_loss: 0.0060 - reg_l2_loss: 0.0641 - loss: 0.7868 - learning_rate: 0.0047 - gradient_norm: 5.7838 - val_det_loss: 0.9576 - val_cls_loss: 0.5909 - val_box_loss: 0.0073 - val_reg_l2_loss: 0.0642 - val_loss: 1.0218\n",
            "Epoch 35/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7269 - cls_loss: 0.4465 - box_loss: 0.0056 - reg_l2_loss: 0.0642 - loss: 0.7911 - learning_rate: 0.0046 - gradient_norm: 5.99972024-04-24 07:05:22.347005: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 79s 5s/step - det_loss: 0.7195 - cls_loss: 0.4409 - box_loss: 0.0056 - reg_l2_loss: 0.0642 - loss: 0.7837 - learning_rate: 0.0046 - gradient_norm: 5.9259 - val_det_loss: 0.7378 - val_cls_loss: 0.4153 - val_box_loss: 0.0065 - val_reg_l2_loss: 0.0642 - val_loss: 0.8020\n",
            "Epoch 36/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7442 - cls_loss: 0.4429 - box_loss: 0.0060 - reg_l2_loss: 0.0642 - loss: 0.8084 - learning_rate: 0.0046 - gradient_norm: 6.68142024-04-24 07:06:36.420967: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.7525 - cls_loss: 0.4494 - box_loss: 0.0061 - reg_l2_loss: 0.0642 - loss: 0.8167 - learning_rate: 0.0046 - gradient_norm: 6.6987 - val_det_loss: 0.7036 - val_cls_loss: 0.4044 - val_box_loss: 0.0060 - val_reg_l2_loss: 0.0642 - val_loss: 0.7678\n",
            "Epoch 37/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6749 - cls_loss: 0.3984 - box_loss: 0.0055 - reg_l2_loss: 0.0642 - loss: 0.7391 - learning_rate: 0.0046 - gradient_norm: 6.48212024-04-24 07:07:38.357095: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.6824 - cls_loss: 0.4025 - box_loss: 0.0056 - reg_l2_loss: 0.0642 - loss: 0.7466 - learning_rate: 0.0046 - gradient_norm: 6.6776 - val_det_loss: 0.7080 - val_cls_loss: 0.4198 - val_box_loss: 0.0058 - val_reg_l2_loss: 0.0642 - val_loss: 0.7723\n",
            "Epoch 38/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7106 - cls_loss: 0.4252 - box_loss: 0.0057 - reg_l2_loss: 0.0643 - loss: 0.7748 - learning_rate: 0.0046 - gradient_norm: 6.69792024-04-24 07:08:41.419973: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.7153 - cls_loss: 0.4264 - box_loss: 0.0058 - reg_l2_loss: 0.0643 - loss: 0.7796 - learning_rate: 0.0046 - gradient_norm: 6.7341 - val_det_loss: 0.6208 - val_cls_loss: 0.3684 - val_box_loss: 0.0050 - val_reg_l2_loss: 0.0643 - val_loss: 0.6851\n",
            "Epoch 39/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6851 - cls_loss: 0.4195 - box_loss: 0.0053 - reg_l2_loss: 0.0643 - loss: 0.7494 - learning_rate: 0.0046 - gradient_norm: 5.31012024-04-24 07:09:47.475644: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 66s 4s/step - det_loss: 0.7247 - cls_loss: 0.4572 - box_loss: 0.0054 - reg_l2_loss: 0.0643 - loss: 0.7890 - learning_rate: 0.0046 - gradient_norm: 5.5707 - val_det_loss: 0.6298 - val_cls_loss: 0.3629 - val_box_loss: 0.0053 - val_reg_l2_loss: 0.0643 - val_loss: 0.6941\n",
            "Epoch 40/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6897 - cls_loss: 0.3985 - box_loss: 0.0058 - reg_l2_loss: 0.0643 - loss: 0.7540 - learning_rate: 0.0045 - gradient_norm: 6.42342024-04-24 07:10:54.492721: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 80s 5s/step - det_loss: 0.6817 - cls_loss: 0.3947 - box_loss: 0.0057 - reg_l2_loss: 0.0643 - loss: 0.7460 - learning_rate: 0.0045 - gradient_norm: 6.4206 - val_det_loss: 0.6775 - val_cls_loss: 0.4024 - val_box_loss: 0.0055 - val_reg_l2_loss: 0.0643 - val_loss: 0.7419\n",
            "Epoch 41/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.7469 - cls_loss: 0.4195 - box_loss: 0.0065 - reg_l2_loss: 0.0643 - loss: 0.8112 - learning_rate: 0.0045 - gradient_norm: 6.96842024-04-24 07:12:08.475570: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.7393 - cls_loss: 0.4191 - box_loss: 0.0064 - reg_l2_loss: 0.0643 - loss: 0.8036 - learning_rate: 0.0045 - gradient_norm: 7.0165 - val_det_loss: 0.8048 - val_cls_loss: 0.4822 - val_box_loss: 0.0065 - val_reg_l2_loss: 0.0644 - val_loss: 0.8692\n",
            "Epoch 42/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6450 - cls_loss: 0.3748 - box_loss: 0.0054 - reg_l2_loss: 0.0644 - loss: 0.7093 - learning_rate: 0.0045 - gradient_norm: 5.32832024-04-24 07:13:10.265808: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.6475 - cls_loss: 0.3763 - box_loss: 0.0054 - reg_l2_loss: 0.0644 - loss: 0.7118 - learning_rate: 0.0045 - gradient_norm: 5.4878 - val_det_loss: 0.6277 - val_cls_loss: 0.3222 - val_box_loss: 0.0061 - val_reg_l2_loss: 0.0644 - val_loss: 0.6921\n",
            "Epoch 43/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5974 - cls_loss: 0.3464 - box_loss: 0.0050 - reg_l2_loss: 0.0644 - loss: 0.6617 - learning_rate: 0.0045 - gradient_norm: 5.13522024-04-24 07:14:11.003073: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.6055 - cls_loss: 0.3491 - box_loss: 0.0051 - reg_l2_loss: 0.0644 - loss: 0.6699 - learning_rate: 0.0045 - gradient_norm: 5.1089 - val_det_loss: 0.5966 - val_cls_loss: 0.3768 - val_box_loss: 0.0044 - val_reg_l2_loss: 0.0644 - val_loss: 0.6610\n",
            "Epoch 44/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6214 - cls_loss: 0.3743 - box_loss: 0.0049 - reg_l2_loss: 0.0644 - loss: 0.6858 - learning_rate: 0.0044 - gradient_norm: 5.62102024-04-24 07:15:15.787515: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.6339 - cls_loss: 0.3829 - box_loss: 0.0050 - reg_l2_loss: 0.0644 - loss: 0.6983 - learning_rate: 0.0044 - gradient_norm: 5.8453 - val_det_loss: 0.6601 - val_cls_loss: 0.4011 - val_box_loss: 0.0052 - val_reg_l2_loss: 0.0644 - val_loss: 0.7246\n",
            "Epoch 45/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6731 - cls_loss: 0.4071 - box_loss: 0.0053 - reg_l2_loss: 0.0644 - loss: 0.7375 - learning_rate: 0.0044 - gradient_norm: 6.86702024-04-24 07:16:16.527621: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 74s 4s/step - det_loss: 0.6731 - cls_loss: 0.4038 - box_loss: 0.0054 - reg_l2_loss: 0.0644 - loss: 0.7375 - learning_rate: 0.0044 - gradient_norm: 6.7922 - val_det_loss: 0.5542 - val_cls_loss: 0.3085 - val_box_loss: 0.0049 - val_reg_l2_loss: 0.0644 - val_loss: 0.6186\n",
            "Epoch 46/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5644 - cls_loss: 0.3471 - box_loss: 0.0043 - reg_l2_loss: 0.0644 - loss: 0.6289 - learning_rate: 0.0044 - gradient_norm: 5.40332024-04-24 07:17:31.665545: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.5594 - cls_loss: 0.3431 - box_loss: 0.0043 - reg_l2_loss: 0.0644 - loss: 0.6239 - learning_rate: 0.0044 - gradient_norm: 5.3765 - val_det_loss: 0.6319 - val_cls_loss: 0.3157 - val_box_loss: 0.0063 - val_reg_l2_loss: 0.0645 - val_loss: 0.6963\n",
            "Epoch 47/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6525 - cls_loss: 0.3907 - box_loss: 0.0052 - reg_l2_loss: 0.0645 - loss: 0.7170 - learning_rate: 0.0044 - gradient_norm: 5.54642024-04-24 07:18:33.629926: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.6762 - cls_loss: 0.4086 - box_loss: 0.0054 - reg_l2_loss: 0.0645 - loss: 0.7406 - learning_rate: 0.0044 - gradient_norm: 5.5835 - val_det_loss: 0.5644 - val_cls_loss: 0.3156 - val_box_loss: 0.0050 - val_reg_l2_loss: 0.0645 - val_loss: 0.6289\n",
            "Epoch 48/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6406 - cls_loss: 0.3628 - box_loss: 0.0056 - reg_l2_loss: 0.0645 - loss: 0.7051 - learning_rate: 0.0043 - gradient_norm: 6.21152024-04-24 07:19:48.149451: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.6572 - cls_loss: 0.3727 - box_loss: 0.0057 - reg_l2_loss: 0.0645 - loss: 0.7216 - learning_rate: 0.0043 - gradient_norm: 6.1124 - val_det_loss: 0.5928 - val_cls_loss: 0.3505 - val_box_loss: 0.0048 - val_reg_l2_loss: 0.0645 - val_loss: 0.6573\n",
            "Epoch 49/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6187 - cls_loss: 0.3613 - box_loss: 0.0051 - reg_l2_loss: 0.0645 - loss: 0.6832 - learning_rate: 0.0043 - gradient_norm: 5.49022024-04-24 07:20:49.905566: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.6080 - cls_loss: 0.3583 - box_loss: 0.0050 - reg_l2_loss: 0.0645 - loss: 0.6725 - learning_rate: 0.0043 - gradient_norm: 5.3766 - val_det_loss: 0.6853 - val_cls_loss: 0.3917 - val_box_loss: 0.0059 - val_reg_l2_loss: 0.0645 - val_loss: 0.7499\n",
            "Epoch 50/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5571 - cls_loss: 0.3429 - box_loss: 0.0043 - reg_l2_loss: 0.0645 - loss: 0.6216 - learning_rate: 0.0043 - gradient_norm: 5.49292024-04-24 07:21:51.699620: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 83s 5s/step - det_loss: 0.5590 - cls_loss: 0.3424 - box_loss: 0.0043 - reg_l2_loss: 0.0645 - loss: 0.6235 - learning_rate: 0.0043 - gradient_norm: 5.3846 - val_det_loss: 0.7354 - val_cls_loss: 0.4470 - val_box_loss: 0.0058 - val_reg_l2_loss: 0.0645 - val_loss: 0.8000\n",
            "Epoch 51/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6198 - cls_loss: 0.3690 - box_loss: 0.0050 - reg_l2_loss: 0.0645 - loss: 0.6843 - learning_rate: 0.0042 - gradient_norm: 6.59362024-04-24 07:23:22.444414: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 66s 4s/step - det_loss: 0.6223 - cls_loss: 0.3686 - box_loss: 0.0051 - reg_l2_loss: 0.0645 - loss: 0.6869 - learning_rate: 0.0042 - gradient_norm: 6.5224 - val_det_loss: 0.7952 - val_cls_loss: 0.4520 - val_box_loss: 0.0069 - val_reg_l2_loss: 0.0646 - val_loss: 0.8597\n",
            "Epoch 52/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6559 - cls_loss: 0.3875 - box_loss: 0.0054 - reg_l2_loss: 0.0646 - loss: 0.7205 - learning_rate: 0.0042 - gradient_norm: 7.05912024-04-24 07:24:23.963687: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.6547 - cls_loss: 0.3860 - box_loss: 0.0054 - reg_l2_loss: 0.0646 - loss: 0.7193 - learning_rate: 0.0042 - gradient_norm: 7.1449 - val_det_loss: 0.7478 - val_cls_loss: 0.4101 - val_box_loss: 0.0068 - val_reg_l2_loss: 0.0646 - val_loss: 0.8124\n",
            "Epoch 53/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6583 - cls_loss: 0.3995 - box_loss: 0.0052 - reg_l2_loss: 0.0646 - loss: 0.7229 - learning_rate: 0.0042 - gradient_norm: 5.87862024-04-24 07:25:28.354416: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.6439 - cls_loss: 0.3937 - box_loss: 0.0050 - reg_l2_loss: 0.0646 - loss: 0.7085 - learning_rate: 0.0042 - gradient_norm: 5.9172 - val_det_loss: 0.5743 - val_cls_loss: 0.3588 - val_box_loss: 0.0043 - val_reg_l2_loss: 0.0646 - val_loss: 0.6389\n",
            "Epoch 54/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6269 - cls_loss: 0.3541 - box_loss: 0.0055 - reg_l2_loss: 0.0646 - loss: 0.6915 - learning_rate: 0.0042 - gradient_norm: 6.27812024-04-24 07:26:28.668886: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.6123 - cls_loss: 0.3465 - box_loss: 0.0053 - reg_l2_loss: 0.0646 - loss: 0.6769 - learning_rate: 0.0042 - gradient_norm: 6.0826 - val_det_loss: 0.5305 - val_cls_loss: 0.3150 - val_box_loss: 0.0043 - val_reg_l2_loss: 0.0646 - val_loss: 0.5951\n",
            "Epoch 55/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6853 - cls_loss: 0.3899 - box_loss: 0.0059 - reg_l2_loss: 0.0646 - loss: 0.7500 - learning_rate: 0.0041 - gradient_norm: 6.26182024-04-24 07:27:30.200229: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 75s 5s/step - det_loss: 0.6994 - cls_loss: 0.3909 - box_loss: 0.0062 - reg_l2_loss: 0.0646 - loss: 0.7641 - learning_rate: 0.0041 - gradient_norm: 6.1890 - val_det_loss: 0.5919 - val_cls_loss: 0.3426 - val_box_loss: 0.0050 - val_reg_l2_loss: 0.0647 - val_loss: 0.6565\n",
            "Epoch 56/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5631 - cls_loss: 0.3535 - box_loss: 0.0042 - reg_l2_loss: 0.0647 - loss: 0.6278 - learning_rate: 0.0041 - gradient_norm: 6.22612024-04-24 07:28:47.992489: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.5539 - cls_loss: 0.3472 - box_loss: 0.0041 - reg_l2_loss: 0.0647 - loss: 0.6186 - learning_rate: 0.0041 - gradient_norm: 6.1025 - val_det_loss: 0.4786 - val_cls_loss: 0.2742 - val_box_loss: 0.0041 - val_reg_l2_loss: 0.0647 - val_loss: 0.5433\n",
            "Epoch 57/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5771 - cls_loss: 0.3340 - box_loss: 0.0049 - reg_l2_loss: 0.0647 - loss: 0.6418 - learning_rate: 0.0041 - gradient_norm: 5.62852024-04-24 07:29:48.792472: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5657 - cls_loss: 0.3287 - box_loss: 0.0047 - reg_l2_loss: 0.0647 - loss: 0.6304 - learning_rate: 0.0041 - gradient_norm: 5.5762 - val_det_loss: 0.5066 - val_cls_loss: 0.3057 - val_box_loss: 0.0040 - val_reg_l2_loss: 0.0647 - val_loss: 0.5713\n",
            "Epoch 58/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5798 - cls_loss: 0.3532 - box_loss: 0.0045 - reg_l2_loss: 0.0647 - loss: 0.6445 - learning_rate: 0.0040 - gradient_norm: 6.03252024-04-24 07:30:48.511289: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5857 - cls_loss: 0.3580 - box_loss: 0.0046 - reg_l2_loss: 0.0647 - loss: 0.6504 - learning_rate: 0.0040 - gradient_norm: 5.9552 - val_det_loss: 0.4368 - val_cls_loss: 0.2518 - val_box_loss: 0.0037 - val_reg_l2_loss: 0.0647 - val_loss: 0.5015\n",
            "Epoch 59/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5924 - cls_loss: 0.3578 - box_loss: 0.0047 - reg_l2_loss: 0.0647 - loss: 0.6572 - learning_rate: 0.0040 - gradient_norm: 5.66472024-04-24 07:31:48.777704: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 70s 4s/step - det_loss: 0.5742 - cls_loss: 0.3492 - box_loss: 0.0045 - reg_l2_loss: 0.0647 - loss: 0.6390 - learning_rate: 0.0040 - gradient_norm: 5.4699 - val_det_loss: 0.5565 - val_cls_loss: 0.3653 - val_box_loss: 0.0038 - val_reg_l2_loss: 0.0647 - val_loss: 0.6212\n",
            "Epoch 60/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5154 - cls_loss: 0.3179 - box_loss: 0.0039 - reg_l2_loss: 0.0647 - loss: 0.5801 - learning_rate: 0.0040 - gradient_norm: 4.84792024-04-24 07:33:00.751149: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 76s 4s/step - det_loss: 0.5037 - cls_loss: 0.3112 - box_loss: 0.0039 - reg_l2_loss: 0.0647 - loss: 0.5685 - learning_rate: 0.0040 - gradient_norm: 4.7941 - val_det_loss: 0.5096 - val_cls_loss: 0.3004 - val_box_loss: 0.0042 - val_reg_l2_loss: 0.0647 - val_loss: 0.5743\n",
            "Epoch 61/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6099 - cls_loss: 0.3651 - box_loss: 0.0049 - reg_l2_loss: 0.0648 - loss: 0.6747 - learning_rate: 0.0039 - gradient_norm: 6.54002024-04-24 07:34:16.180857: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5984 - cls_loss: 0.3582 - box_loss: 0.0048 - reg_l2_loss: 0.0648 - loss: 0.6631 - learning_rate: 0.0039 - gradient_norm: 6.3347 - val_det_loss: 0.5145 - val_cls_loss: 0.2903 - val_box_loss: 0.0045 - val_reg_l2_loss: 0.0648 - val_loss: 0.5792\n",
            "Epoch 62/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6422 - cls_loss: 0.3875 - box_loss: 0.0051 - reg_l2_loss: 0.0648 - loss: 0.7070 - learning_rate: 0.0039 - gradient_norm: 6.32452024-04-24 07:35:12.747644: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 58s 3s/step - det_loss: 0.6382 - cls_loss: 0.3862 - box_loss: 0.0050 - reg_l2_loss: 0.0648 - loss: 0.7030 - learning_rate: 0.0039 - gradient_norm: 6.2808 - val_det_loss: 0.5354 - val_cls_loss: 0.2999 - val_box_loss: 0.0047 - val_reg_l2_loss: 0.0648 - val_loss: 0.6001\n",
            "Epoch 63/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.6447 - cls_loss: 0.3573 - box_loss: 0.0057 - reg_l2_loss: 0.0648 - loss: 0.7095 - learning_rate: 0.0039 - gradient_norm: 6.51442024-04-24 07:36:13.126705: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 70s 4s/step - det_loss: 0.6537 - cls_loss: 0.3611 - box_loss: 0.0059 - reg_l2_loss: 0.0648 - loss: 0.7184 - learning_rate: 0.0039 - gradient_norm: 6.5858 - val_det_loss: 0.4983 - val_cls_loss: 0.3268 - val_box_loss: 0.0034 - val_reg_l2_loss: 0.0648 - val_loss: 0.5631\n",
            "Epoch 64/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5782 - cls_loss: 0.3370 - box_loss: 0.0048 - reg_l2_loss: 0.0648 - loss: 0.6431 - learning_rate: 0.0038 - gradient_norm: 5.61082024-04-24 07:37:21.932276: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 4s/step - det_loss: 0.5633 - cls_loss: 0.3291 - box_loss: 0.0047 - reg_l2_loss: 0.0648 - loss: 0.6281 - learning_rate: 0.0038 - gradient_norm: 5.5271 - val_det_loss: 0.4739 - val_cls_loss: 0.2816 - val_box_loss: 0.0038 - val_reg_l2_loss: 0.0648 - val_loss: 0.5387\n",
            "Epoch 65/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5316 - cls_loss: 0.3192 - box_loss: 0.0042 - reg_l2_loss: 0.0648 - loss: 0.5965 - learning_rate: 0.0038 - gradient_norm: 5.64682024-04-24 07:38:23.958079: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 85s 5s/step - det_loss: 0.5291 - cls_loss: 0.3173 - box_loss: 0.0042 - reg_l2_loss: 0.0648 - loss: 0.5939 - learning_rate: 0.0038 - gradient_norm: 5.5531 - val_det_loss: 0.6001 - val_cls_loss: 0.3881 - val_box_loss: 0.0042 - val_reg_l2_loss: 0.0648 - val_loss: 0.6649\n",
            "Epoch 66/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5568 - cls_loss: 0.3292 - box_loss: 0.0046 - reg_l2_loss: 0.0649 - loss: 0.6216 - learning_rate: 0.0038 - gradient_norm: 5.97032024-04-24 07:39:52.016464: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.5474 - cls_loss: 0.3240 - box_loss: 0.0045 - reg_l2_loss: 0.0649 - loss: 0.6122 - learning_rate: 0.0038 - gradient_norm: 5.8575 - val_det_loss: 0.5187 - val_cls_loss: 0.3005 - val_box_loss: 0.0044 - val_reg_l2_loss: 0.0649 - val_loss: 0.5835\n",
            "Epoch 67/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5571 - cls_loss: 0.3010 - box_loss: 0.0051 - reg_l2_loss: 0.0649 - loss: 0.6220 - learning_rate: 0.0037 - gradient_norm: 5.81952024-04-24 07:40:54.524405: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.5560 - cls_loss: 0.3069 - box_loss: 0.0050 - reg_l2_loss: 0.0649 - loss: 0.6209 - learning_rate: 0.0037 - gradient_norm: 5.9110 - val_det_loss: 0.4704 - val_cls_loss: 0.2844 - val_box_loss: 0.0037 - val_reg_l2_loss: 0.0649 - val_loss: 0.5353\n",
            "Epoch 68/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5317 - cls_loss: 0.3197 - box_loss: 0.0042 - reg_l2_loss: 0.0649 - loss: 0.5965 - learning_rate: 0.0037 - gradient_norm: 5.54042024-04-24 07:41:55.591745: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 70s 4s/step - det_loss: 0.5374 - cls_loss: 0.3251 - box_loss: 0.0042 - reg_l2_loss: 0.0649 - loss: 0.6022 - learning_rate: 0.0037 - gradient_norm: 5.5460 - val_det_loss: 0.6009 - val_cls_loss: 0.3202 - val_box_loss: 0.0056 - val_reg_l2_loss: 0.0649 - val_loss: 0.6658\n",
            "Epoch 69/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5514 - cls_loss: 0.3190 - box_loss: 0.0046 - reg_l2_loss: 0.0649 - loss: 0.6163 - learning_rate: 0.0037 - gradient_norm: 5.75402024-04-24 07:43:09.048375: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.5474 - cls_loss: 0.3171 - box_loss: 0.0046 - reg_l2_loss: 0.0649 - loss: 0.6123 - learning_rate: 0.0037 - gradient_norm: 5.7747 - val_det_loss: 0.5472 - val_cls_loss: 0.3021 - val_box_loss: 0.0049 - val_reg_l2_loss: 0.0649 - val_loss: 0.6121\n",
            "Epoch 70/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5104 - cls_loss: 0.3253 - box_loss: 0.0037 - reg_l2_loss: 0.0649 - loss: 0.5753 - learning_rate: 0.0036 - gradient_norm: 6.05702024-04-24 07:44:11.861121: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 85s 5s/step - det_loss: 0.5262 - cls_loss: 0.3350 - box_loss: 0.0038 - reg_l2_loss: 0.0649 - loss: 0.5911 - learning_rate: 0.0036 - gradient_norm: 6.2128 - val_det_loss: 0.5371 - val_cls_loss: 0.3004 - val_box_loss: 0.0047 - val_reg_l2_loss: 0.0649 - val_loss: 0.6020\n",
            "Epoch 71/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5627 - cls_loss: 0.3327 - box_loss: 0.0046 - reg_l2_loss: 0.0649 - loss: 0.6277 - learning_rate: 0.0036 - gradient_norm: 5.50892024-04-24 07:45:35.167358: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.5657 - cls_loss: 0.3312 - box_loss: 0.0047 - reg_l2_loss: 0.0649 - loss: 0.6307 - learning_rate: 0.0036 - gradient_norm: 5.4361 - val_det_loss: 0.4981 - val_cls_loss: 0.2849 - val_box_loss: 0.0043 - val_reg_l2_loss: 0.0649 - val_loss: 0.5631\n",
            "Epoch 72/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5696 - cls_loss: 0.3320 - box_loss: 0.0048 - reg_l2_loss: 0.0649 - loss: 0.6345 - learning_rate: 0.0036 - gradient_norm: 5.35452024-04-24 07:46:35.219369: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5612 - cls_loss: 0.3276 - box_loss: 0.0047 - reg_l2_loss: 0.0649 - loss: 0.6262 - learning_rate: 0.0036 - gradient_norm: 5.2030 - val_det_loss: 0.5216 - val_cls_loss: 0.3231 - val_box_loss: 0.0040 - val_reg_l2_loss: 0.0649 - val_loss: 0.5865\n",
            "Epoch 73/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5449 - cls_loss: 0.3193 - box_loss: 0.0045 - reg_l2_loss: 0.0650 - loss: 0.6099 - learning_rate: 0.0035 - gradient_norm: 5.64202024-04-24 07:47:34.763647: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.5496 - cls_loss: 0.3224 - box_loss: 0.0045 - reg_l2_loss: 0.0650 - loss: 0.6145 - learning_rate: 0.0035 - gradient_norm: 5.7358 - val_det_loss: 0.4443 - val_cls_loss: 0.2633 - val_box_loss: 0.0036 - val_reg_l2_loss: 0.0650 - val_loss: 0.5092\n",
            "Epoch 74/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5479 - cls_loss: 0.3264 - box_loss: 0.0044 - reg_l2_loss: 0.0650 - loss: 0.6129 - learning_rate: 0.0035 - gradient_norm: 6.50972024-04-24 07:48:36.823144: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5402 - cls_loss: 0.3221 - box_loss: 0.0044 - reg_l2_loss: 0.0650 - loss: 0.6051 - learning_rate: 0.0035 - gradient_norm: 6.4563 - val_det_loss: 0.4348 - val_cls_loss: 0.2778 - val_box_loss: 0.0031 - val_reg_l2_loss: 0.0650 - val_loss: 0.4997\n",
            "Epoch 75/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5348 - cls_loss: 0.3262 - box_loss: 0.0042 - reg_l2_loss: 0.0650 - loss: 0.5998 - learning_rate: 0.0035 - gradient_norm: 5.68052024-04-24 07:49:41.144996: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 79s 5s/step - det_loss: 0.5300 - cls_loss: 0.3236 - box_loss: 0.0041 - reg_l2_loss: 0.0650 - loss: 0.5950 - learning_rate: 0.0035 - gradient_norm: 5.5748 - val_det_loss: 0.4515 - val_cls_loss: 0.2554 - val_box_loss: 0.0039 - val_reg_l2_loss: 0.0650 - val_loss: 0.5165\n",
            "Epoch 76/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5332 - cls_loss: 0.3052 - box_loss: 0.0046 - reg_l2_loss: 0.0650 - loss: 0.5981 - learning_rate: 0.0034 - gradient_norm: 5.16022024-04-24 07:50:54.449293: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.5399 - cls_loss: 0.3085 - box_loss: 0.0046 - reg_l2_loss: 0.0650 - loss: 0.6049 - learning_rate: 0.0034 - gradient_norm: 5.4291 - val_det_loss: 0.4895 - val_cls_loss: 0.2787 - val_box_loss: 0.0042 - val_reg_l2_loss: 0.0650 - val_loss: 0.5545\n",
            "Epoch 77/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4721 - cls_loss: 0.2940 - box_loss: 0.0036 - reg_l2_loss: 0.0650 - loss: 0.5371 - learning_rate: 0.0034 - gradient_norm: 5.46422024-04-24 07:51:54.383908: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 69s 4s/step - det_loss: 0.4844 - cls_loss: 0.2991 - box_loss: 0.0037 - reg_l2_loss: 0.0650 - loss: 0.5494 - learning_rate: 0.0034 - gradient_norm: 5.5397 - val_det_loss: 0.4631 - val_cls_loss: 0.2565 - val_box_loss: 0.0041 - val_reg_l2_loss: 0.0650 - val_loss: 0.5281\n",
            "Epoch 78/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5094 - cls_loss: 0.2913 - box_loss: 0.0044 - reg_l2_loss: 0.0650 - loss: 0.5745 - learning_rate: 0.0034 - gradient_norm: 5.20742024-04-24 07:53:08.972820: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 66s 4s/step - det_loss: 0.5176 - cls_loss: 0.2908 - box_loss: 0.0045 - reg_l2_loss: 0.0650 - loss: 0.5826 - learning_rate: 0.0034 - gradient_norm: 5.2564 - val_det_loss: 0.4042 - val_cls_loss: 0.2401 - val_box_loss: 0.0033 - val_reg_l2_loss: 0.0650 - val_loss: 0.4692\n",
            "Epoch 79/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4737 - cls_loss: 0.2925 - box_loss: 0.0036 - reg_l2_loss: 0.0650 - loss: 0.5387 - learning_rate: 0.0033 - gradient_norm: 5.34152024-04-24 07:54:09.684244: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.4751 - cls_loss: 0.2938 - box_loss: 0.0036 - reg_l2_loss: 0.0650 - loss: 0.5401 - learning_rate: 0.0033 - gradient_norm: 5.3561 - val_det_loss: 0.4261 - val_cls_loss: 0.2469 - val_box_loss: 0.0036 - val_reg_l2_loss: 0.0650 - val_loss: 0.4911\n",
            "Epoch 80/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5292 - cls_loss: 0.3126 - box_loss: 0.0043 - reg_l2_loss: 0.0650 - loss: 0.5942 - learning_rate: 0.0033 - gradient_norm: 5.49902024-04-24 07:55:10.116546: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 82s 5s/step - det_loss: 0.5284 - cls_loss: 0.3128 - box_loss: 0.0043 - reg_l2_loss: 0.0650 - loss: 0.5934 - learning_rate: 0.0033 - gradient_norm: 5.3832 - val_det_loss: 0.4399 - val_cls_loss: 0.2627 - val_box_loss: 0.0035 - val_reg_l2_loss: 0.0650 - val_loss: 0.5050\n",
            "Epoch 81/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5204 - cls_loss: 0.3335 - box_loss: 0.0037 - reg_l2_loss: 0.0650 - loss: 0.5854 - learning_rate: 0.0032 - gradient_norm: 5.68292024-04-24 07:56:32.825399: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.5261 - cls_loss: 0.3358 - box_loss: 0.0038 - reg_l2_loss: 0.0650 - loss: 0.5912 - learning_rate: 0.0032 - gradient_norm: 5.8158 - val_det_loss: 0.4105 - val_cls_loss: 0.2503 - val_box_loss: 0.0032 - val_reg_l2_loss: 0.0650 - val_loss: 0.4755\n",
            "Epoch 82/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4971 - cls_loss: 0.2949 - box_loss: 0.0040 - reg_l2_loss: 0.0651 - loss: 0.5622 - learning_rate: 0.0032 - gradient_norm: 4.99192024-04-24 07:57:37.837326: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.4975 - cls_loss: 0.2944 - box_loss: 0.0041 - reg_l2_loss: 0.0651 - loss: 0.5625 - learning_rate: 0.0032 - gradient_norm: 4.9632 - val_det_loss: 0.4589 - val_cls_loss: 0.2627 - val_box_loss: 0.0039 - val_reg_l2_loss: 0.0651 - val_loss: 0.5240\n",
            "Epoch 83/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4673 - cls_loss: 0.2818 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5323 - learning_rate: 0.0032 - gradient_norm: 5.19452024-04-24 07:58:37.911384: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.4631 - cls_loss: 0.2797 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5282 - learning_rate: 0.0032 - gradient_norm: 5.1181 - val_det_loss: 0.4132 - val_cls_loss: 0.2511 - val_box_loss: 0.0032 - val_reg_l2_loss: 0.0651 - val_loss: 0.4782\n",
            "Epoch 84/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5026 - cls_loss: 0.3067 - box_loss: 0.0039 - reg_l2_loss: 0.0651 - loss: 0.5677 - learning_rate: 0.0031 - gradient_norm: 5.51152024-04-24 07:59:37.834048: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.4957 - cls_loss: 0.3018 - box_loss: 0.0039 - reg_l2_loss: 0.0651 - loss: 0.5608 - learning_rate: 0.0031 - gradient_norm: 5.4016 - val_det_loss: 0.4244 - val_cls_loss: 0.2626 - val_box_loss: 0.0032 - val_reg_l2_loss: 0.0651 - val_loss: 0.4895\n",
            "Epoch 85/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4768 - cls_loss: 0.2980 - box_loss: 0.0036 - reg_l2_loss: 0.0651 - loss: 0.5418 - learning_rate: 0.0031 - gradient_norm: 5.36622024-04-24 08:00:36.691850: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 83s 5s/step - det_loss: 0.4830 - cls_loss: 0.2996 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5481 - learning_rate: 0.0031 - gradient_norm: 5.4470 - val_det_loss: 0.4064 - val_cls_loss: 0.2634 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0651 - val_loss: 0.4715\n",
            "Epoch 86/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4944 - cls_loss: 0.3032 - box_loss: 0.0038 - reg_l2_loss: 0.0651 - loss: 0.5595 - learning_rate: 0.0030 - gradient_norm: 5.78922024-04-24 08:02:03.001023: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.5034 - cls_loss: 0.3039 - box_loss: 0.0040 - reg_l2_loss: 0.0651 - loss: 0.5685 - learning_rate: 0.0030 - gradient_norm: 5.8681 - val_det_loss: 0.5062 - val_cls_loss: 0.3685 - val_box_loss: 0.0028 - val_reg_l2_loss: 0.0651 - val_loss: 0.5713\n",
            "Epoch 87/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4351 - cls_loss: 0.2750 - box_loss: 0.0032 - reg_l2_loss: 0.0651 - loss: 0.5002 - learning_rate: 0.0030 - gradient_norm: 4.49122024-04-24 08:03:03.497878: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.4344 - cls_loss: 0.2778 - box_loss: 0.0031 - reg_l2_loss: 0.0651 - loss: 0.4995 - learning_rate: 0.0030 - gradient_norm: 4.6126 - val_det_loss: 0.3960 - val_cls_loss: 0.2710 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0651 - val_loss: 0.4611\n",
            "Epoch 88/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4618 - cls_loss: 0.2845 - box_loss: 0.0035 - reg_l2_loss: 0.0651 - loss: 0.5269 - learning_rate: 0.0030 - gradient_norm: 4.85132024-04-24 08:04:04.617010: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.4570 - cls_loss: 0.2843 - box_loss: 0.0035 - reg_l2_loss: 0.0651 - loss: 0.5221 - learning_rate: 0.0030 - gradient_norm: 5.1374 - val_det_loss: 0.3772 - val_cls_loss: 0.2385 - val_box_loss: 0.0028 - val_reg_l2_loss: 0.0651 - val_loss: 0.4423\n",
            "Epoch 89/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4373 - cls_loss: 0.2709 - box_loss: 0.0033 - reg_l2_loss: 0.0651 - loss: 0.5024 - learning_rate: 0.0029 - gradient_norm: 4.72352024-04-24 08:05:06.018644: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.4289 - cls_loss: 0.2658 - box_loss: 0.0033 - reg_l2_loss: 0.0651 - loss: 0.4940 - learning_rate: 0.0029 - gradient_norm: 4.6088 - val_det_loss: 0.5006 - val_cls_loss: 0.3070 - val_box_loss: 0.0039 - val_reg_l2_loss: 0.0651 - val_loss: 0.5657\n",
            "Epoch 90/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4355 - cls_loss: 0.2492 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5006 - learning_rate: 0.0029 - gradient_norm: 4.26652024-04-24 08:06:07.395747: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 74s 4s/step - det_loss: 0.4366 - cls_loss: 0.2509 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5017 - learning_rate: 0.0029 - gradient_norm: 4.2127 - val_det_loss: 0.5298 - val_cls_loss: 0.3189 - val_box_loss: 0.0042 - val_reg_l2_loss: 0.0651 - val_loss: 0.5949\n",
            "Epoch 91/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5447 - cls_loss: 0.3005 - box_loss: 0.0049 - reg_l2_loss: 0.0651 - loss: 0.6098 - learning_rate: 0.0029 - gradient_norm: 5.29502024-04-24 08:07:24.747998: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.5408 - cls_loss: 0.2993 - box_loss: 0.0048 - reg_l2_loss: 0.0651 - loss: 0.6059 - learning_rate: 0.0029 - gradient_norm: 5.4001 - val_det_loss: 0.4719 - val_cls_loss: 0.2713 - val_box_loss: 0.0040 - val_reg_l2_loss: 0.0651 - val_loss: 0.5371\n",
            "Epoch 92/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4332 - cls_loss: 0.2639 - box_loss: 0.0034 - reg_l2_loss: 0.0651 - loss: 0.4984 - learning_rate: 0.0028 - gradient_norm: 5.01242024-04-24 08:08:34.599262: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.4277 - cls_loss: 0.2617 - box_loss: 0.0033 - reg_l2_loss: 0.0651 - loss: 0.4929 - learning_rate: 0.0028 - gradient_norm: 5.0558 - val_det_loss: 0.4127 - val_cls_loss: 0.2512 - val_box_loss: 0.0032 - val_reg_l2_loss: 0.0651 - val_loss: 0.4778\n",
            "Epoch 93/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4609 - cls_loss: 0.2767 - box_loss: 0.0037 - reg_l2_loss: 0.0651 - loss: 0.5260 - learning_rate: 0.0028 - gradient_norm: 5.45932024-04-24 08:09:36.919289: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.4695 - cls_loss: 0.2801 - box_loss: 0.0038 - reg_l2_loss: 0.0651 - loss: 0.5346 - learning_rate: 0.0028 - gradient_norm: 5.3711 - val_det_loss: 0.4184 - val_cls_loss: 0.2626 - val_box_loss: 0.0031 - val_reg_l2_loss: 0.0651 - val_loss: 0.4836\n",
            "Epoch 94/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4111 - cls_loss: 0.2520 - box_loss: 0.0032 - reg_l2_loss: 0.0651 - loss: 0.4762 - learning_rate: 0.0027 - gradient_norm: 4.40602024-04-24 08:10:41.482989: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 74s 4s/step - det_loss: 0.4035 - cls_loss: 0.2494 - box_loss: 0.0031 - reg_l2_loss: 0.0651 - loss: 0.4686 - learning_rate: 0.0027 - gradient_norm: 4.3606 - val_det_loss: 0.4028 - val_cls_loss: 0.2418 - val_box_loss: 0.0032 - val_reg_l2_loss: 0.0651 - val_loss: 0.4679\n",
            "Epoch 95/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4875 - cls_loss: 0.2930 - box_loss: 0.0039 - reg_l2_loss: 0.0651 - loss: 0.5526 - learning_rate: 0.0027 - gradient_norm: 5.51652024-04-24 08:11:57.242356: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 89s 5s/step - det_loss: 0.5008 - cls_loss: 0.2968 - box_loss: 0.0041 - reg_l2_loss: 0.0651 - loss: 0.5659 - learning_rate: 0.0027 - gradient_norm: 5.7656 - val_det_loss: 0.3660 - val_cls_loss: 0.2217 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0651 - val_loss: 0.4312\n",
            "Epoch 96/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4630 - cls_loss: 0.2742 - box_loss: 0.0038 - reg_l2_loss: 0.0652 - loss: 0.5282 - learning_rate: 0.0027 - gradient_norm: 5.86382024-04-24 08:13:19.489289: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.4585 - cls_loss: 0.2724 - box_loss: 0.0037 - reg_l2_loss: 0.0652 - loss: 0.5236 - learning_rate: 0.0027 - gradient_norm: 5.7804 - val_det_loss: 0.4554 - val_cls_loss: 0.2648 - val_box_loss: 0.0038 - val_reg_l2_loss: 0.0652 - val_loss: 0.5206\n",
            "Epoch 97/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4321 - cls_loss: 0.2564 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.4973 - learning_rate: 0.0026 - gradient_norm: 5.03222024-04-24 08:14:20.721038: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.4410 - cls_loss: 0.2648 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.5062 - learning_rate: 0.0026 - gradient_norm: 5.1440 - val_det_loss: 0.4380 - val_cls_loss: 0.2657 - val_box_loss: 0.0034 - val_reg_l2_loss: 0.0652 - val_loss: 0.5031\n",
            "Epoch 98/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3908 - cls_loss: 0.2385 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4560 - learning_rate: 0.0026 - gradient_norm: 4.44132024-04-24 08:15:24.207124: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 72s 4s/step - det_loss: 0.3913 - cls_loss: 0.2380 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4564 - learning_rate: 0.0026 - gradient_norm: 4.4915 - val_det_loss: 0.4069 - val_cls_loss: 0.2568 - val_box_loss: 0.0030 - val_reg_l2_loss: 0.0652 - val_loss: 0.4721\n",
            "Epoch 99/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4052 - cls_loss: 0.2460 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4704 - learning_rate: 0.0025 - gradient_norm: 5.08652024-04-24 08:16:36.609719: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3983 - cls_loss: 0.2412 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4635 - learning_rate: 0.0025 - gradient_norm: 5.0137 - val_det_loss: 0.3759 - val_cls_loss: 0.2211 - val_box_loss: 0.0031 - val_reg_l2_loss: 0.0652 - val_loss: 0.4411\n",
            "Epoch 100/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3978 - cls_loss: 0.2534 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4629 - learning_rate: 0.0025 - gradient_norm: 4.72762024-04-24 08:17:43.515646: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 80s 5s/step - det_loss: 0.3898 - cls_loss: 0.2492 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4550 - learning_rate: 0.0025 - gradient_norm: 4.6516 - val_det_loss: 0.3774 - val_cls_loss: 0.2253 - val_box_loss: 0.0030 - val_reg_l2_loss: 0.0652 - val_loss: 0.4426\n",
            "Epoch 101/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4328 - cls_loss: 0.2679 - box_loss: 0.0033 - reg_l2_loss: 0.0652 - loss: 0.4980 - learning_rate: 0.0025 - gradient_norm: 4.70112024-04-24 08:18:57.259302: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.4254 - cls_loss: 0.2638 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4906 - learning_rate: 0.0025 - gradient_norm: 4.5768 - val_det_loss: 0.3554 - val_cls_loss: 0.2225 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4206\n",
            "Epoch 102/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.5717 - cls_loss: 0.2885 - box_loss: 0.0057 - reg_l2_loss: 0.0652 - loss: 0.6369 - learning_rate: 0.0024 - gradient_norm: 4.89632024-04-24 08:20:08.563395: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 70s 4s/step - det_loss: 0.5669 - cls_loss: 0.2889 - box_loss: 0.0056 - reg_l2_loss: 0.0652 - loss: 0.6321 - learning_rate: 0.0024 - gradient_norm: 4.9897 - val_det_loss: 0.3564 - val_cls_loss: 0.2220 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4215\n",
            "Epoch 103/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4482 - cls_loss: 0.2740 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.5134 - learning_rate: 0.0024 - gradient_norm: 5.28342024-04-24 08:21:22.956981: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.4396 - cls_loss: 0.2713 - box_loss: 0.0034 - reg_l2_loss: 0.0652 - loss: 0.5048 - learning_rate: 0.0024 - gradient_norm: 5.1139 - val_det_loss: 0.3625 - val_cls_loss: 0.2219 - val_box_loss: 0.0028 - val_reg_l2_loss: 0.0652 - val_loss: 0.4277\n",
            "Epoch 104/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3819 - cls_loss: 0.2391 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4471 - learning_rate: 0.0023 - gradient_norm: 4.45272024-04-24 08:22:25.446261: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3906 - cls_loss: 0.2406 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4558 - learning_rate: 0.0023 - gradient_norm: 4.4263 - val_det_loss: 0.3735 - val_cls_loss: 0.2369 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4387\n",
            "Epoch 105/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4004 - cls_loss: 0.2397 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4656 - learning_rate: 0.0023 - gradient_norm: 5.06362024-04-24 08:23:27.410825: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 87s 5s/step - det_loss: 0.3984 - cls_loss: 0.2402 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4636 - learning_rate: 0.0023 - gradient_norm: 5.0552 - val_det_loss: 0.3813 - val_cls_loss: 0.2358 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4465\n",
            "Epoch 106/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4150 - cls_loss: 0.2525 - box_loss: 0.0033 - reg_l2_loss: 0.0652 - loss: 0.4802 - learning_rate: 0.0023 - gradient_norm: 4.93042024-04-24 08:24:54.909621: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.4348 - cls_loss: 0.2610 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.5000 - learning_rate: 0.0023 - gradient_norm: 5.2121 - val_det_loss: 0.3737 - val_cls_loss: 0.2264 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4389\n",
            "Epoch 107/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4733 - cls_loss: 0.2804 - box_loss: 0.0039 - reg_l2_loss: 0.0652 - loss: 0.5385 - learning_rate: 0.0022 - gradient_norm: 5.15912024-04-24 08:25:58.609648: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.4744 - cls_loss: 0.2807 - box_loss: 0.0039 - reg_l2_loss: 0.0652 - loss: 0.5396 - learning_rate: 0.0022 - gradient_norm: 5.0785 - val_det_loss: 0.3692 - val_cls_loss: 0.2306 - val_box_loss: 0.0028 - val_reg_l2_loss: 0.0652 - val_loss: 0.4344\n",
            "Epoch 108/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4445 - cls_loss: 0.2659 - box_loss: 0.0036 - reg_l2_loss: 0.0652 - loss: 0.5097 - learning_rate: 0.0022 - gradient_norm: 4.85112024-04-24 08:27:00.775713: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.4394 - cls_loss: 0.2636 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.5046 - learning_rate: 0.0022 - gradient_norm: 4.8000 - val_det_loss: 0.3683 - val_cls_loss: 0.2196 - val_box_loss: 0.0030 - val_reg_l2_loss: 0.0652 - val_loss: 0.4335\n",
            "Epoch 109/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3743 - cls_loss: 0.2261 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4395 - learning_rate: 0.0021 - gradient_norm: 3.97232024-04-24 08:28:13.111148: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.3675 - cls_loss: 0.2228 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4328 - learning_rate: 0.0021 - gradient_norm: 3.9182 - val_det_loss: 0.3620 - val_cls_loss: 0.2247 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4272\n",
            "Epoch 110/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3836 - cls_loss: 0.2265 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4488 - learning_rate: 0.0021 - gradient_norm: 4.46072024-04-24 08:29:16.974781: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 87s 5s/step - det_loss: 0.3751 - cls_loss: 0.2231 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4403 - learning_rate: 0.0021 - gradient_norm: 4.3670 - val_det_loss: 0.3586 - val_cls_loss: 0.2293 - val_box_loss: 0.0026 - val_reg_l2_loss: 0.0652 - val_loss: 0.4238\n",
            "Epoch 111/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3742 - cls_loss: 0.2315 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4394 - learning_rate: 0.0021 - gradient_norm: 4.38742024-04-24 08:30:46.600069: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 76s 5s/step - det_loss: 0.3736 - cls_loss: 0.2328 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4388 - learning_rate: 0.0021 - gradient_norm: 4.3792 - val_det_loss: 0.3852 - val_cls_loss: 0.2304 - val_box_loss: 0.0031 - val_reg_l2_loss: 0.0652 - val_loss: 0.4504\n",
            "Epoch 112/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4845 - cls_loss: 0.2719 - box_loss: 0.0043 - reg_l2_loss: 0.0652 - loss: 0.5497 - learning_rate: 0.0020 - gradient_norm: 4.91472024-04-24 08:31:57.201995: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.4706 - cls_loss: 0.2651 - box_loss: 0.0041 - reg_l2_loss: 0.0652 - loss: 0.5358 - learning_rate: 0.0020 - gradient_norm: 4.7619 - val_det_loss: 0.3751 - val_cls_loss: 0.2324 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4403\n",
            "Epoch 113/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4005 - cls_loss: 0.2426 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4657 - learning_rate: 0.0020 - gradient_norm: 5.12622024-04-24 08:32:59.891883: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.4195 - cls_loss: 0.2516 - box_loss: 0.0034 - reg_l2_loss: 0.0652 - loss: 0.4847 - learning_rate: 0.0020 - gradient_norm: 5.3970 - val_det_loss: 0.3632 - val_cls_loss: 0.2287 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4284\n",
            "Epoch 114/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3845 - cls_loss: 0.2463 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4497 - learning_rate: 0.0020 - gradient_norm: 4.49842024-04-24 08:34:01.817952: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3811 - cls_loss: 0.2447 - box_loss: 0.0027 - reg_l2_loss: 0.0652 - loss: 0.4463 - learning_rate: 0.0020 - gradient_norm: 4.4460 - val_det_loss: 0.3725 - val_cls_loss: 0.2386 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4377\n",
            "Epoch 115/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3554 - cls_loss: 0.2322 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.4206 - learning_rate: 0.0019 - gradient_norm: 4.09732024-04-24 08:35:03.500267: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 93s 6s/step - det_loss: 0.3570 - cls_loss: 0.2348 - box_loss: 0.0024 - reg_l2_loss: 0.0652 - loss: 0.4222 - learning_rate: 0.0019 - gradient_norm: 4.4252 - val_det_loss: 0.3897 - val_cls_loss: 0.2540 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4549\n",
            "Epoch 116/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3845 - cls_loss: 0.2364 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4498 - learning_rate: 0.0019 - gradient_norm: 4.82822024-04-24 08:36:38.687303: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3873 - cls_loss: 0.2384 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4525 - learning_rate: 0.0019 - gradient_norm: 4.8746 - val_det_loss: 0.3682 - val_cls_loss: 0.2399 - val_box_loss: 0.0026 - val_reg_l2_loss: 0.0652 - val_loss: 0.4334\n",
            "Epoch 117/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3883 - cls_loss: 0.2346 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4535 - learning_rate: 0.0018 - gradient_norm: 4.33092024-04-24 08:37:37.187569: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3844 - cls_loss: 0.2355 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4496 - learning_rate: 0.0018 - gradient_norm: 4.3452 - val_det_loss: 0.3534 - val_cls_loss: 0.2349 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0652 - val_loss: 0.4187\n",
            "Epoch 118/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4128 - cls_loss: 0.2519 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4780 - learning_rate: 0.0018 - gradient_norm: 4.94392024-04-24 08:38:35.783986: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.4031 - cls_loss: 0.2472 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4684 - learning_rate: 0.0018 - gradient_norm: 4.8327 - val_det_loss: 0.3732 - val_cls_loss: 0.2493 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0652 - val_loss: 0.4384\n",
            "Epoch 119/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3979 - cls_loss: 0.2362 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4631 - learning_rate: 0.0018 - gradient_norm: 5.81012024-04-24 08:39:36.085140: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3927 - cls_loss: 0.2340 - box_loss: 0.0032 - reg_l2_loss: 0.0652 - loss: 0.4580 - learning_rate: 0.0018 - gradient_norm: 5.7294 - val_det_loss: 0.3775 - val_cls_loss: 0.2325 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4428\n",
            "Epoch 120/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4178 - cls_loss: 0.2509 - box_loss: 0.0033 - reg_l2_loss: 0.0652 - loss: 0.4831 - learning_rate: 0.0017 - gradient_norm: 5.39412024-04-24 08:40:39.674110: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 78s 5s/step - det_loss: 0.4292 - cls_loss: 0.2532 - box_loss: 0.0035 - reg_l2_loss: 0.0652 - loss: 0.4945 - learning_rate: 0.0017 - gradient_norm: 5.6360 - val_det_loss: 0.3809 - val_cls_loss: 0.2457 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4461\n",
            "Epoch 121/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3693 - cls_loss: 0.2274 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4345 - learning_rate: 0.0017 - gradient_norm: 4.57822024-04-24 08:41:53.463703: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3607 - cls_loss: 0.2240 - box_loss: 0.0027 - reg_l2_loss: 0.0652 - loss: 0.4260 - learning_rate: 0.0017 - gradient_norm: 4.4261 - val_det_loss: 0.3700 - val_cls_loss: 0.2366 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4353\n",
            "Epoch 122/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3622 - cls_loss: 0.2242 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4274 - learning_rate: 0.0017 - gradient_norm: 4.63672024-04-24 08:42:55.473410: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3646 - cls_loss: 0.2250 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4298 - learning_rate: 0.0016 - gradient_norm: 4.6426 - val_det_loss: 0.3609 - val_cls_loss: 0.2342 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0652 - val_loss: 0.4261\n",
            "Epoch 123/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3713 - cls_loss: 0.2319 - box_loss: 0.0028 - reg_l2_loss: 0.0652 - loss: 0.4365 - learning_rate: 0.0016 - gradient_norm: 5.07152024-04-24 08:43:57.597832: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3647 - cls_loss: 0.2293 - box_loss: 0.0027 - reg_l2_loss: 0.0652 - loss: 0.4299 - learning_rate: 0.0016 - gradient_norm: 4.9773 - val_det_loss: 0.3653 - val_cls_loss: 0.2357 - val_box_loss: 0.0026 - val_reg_l2_loss: 0.0652 - val_loss: 0.4306\n",
            "Epoch 124/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3273 - cls_loss: 0.2062 - box_loss: 0.0024 - reg_l2_loss: 0.0652 - loss: 0.3925 - learning_rate: 0.0016 - gradient_norm: 4.01902024-04-24 08:45:01.547675: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3325 - cls_loss: 0.2088 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.3978 - learning_rate: 0.0016 - gradient_norm: 3.9997 - val_det_loss: 0.3641 - val_cls_loss: 0.2254 - val_box_loss: 0.0028 - val_reg_l2_loss: 0.0652 - val_loss: 0.4293\n",
            "Epoch 125/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3831 - cls_loss: 0.2368 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4483 - learning_rate: 0.0015 - gradient_norm: 4.74072024-04-24 08:46:04.249937: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 76s 5s/step - det_loss: 0.3813 - cls_loss: 0.2343 - box_loss: 0.0029 - reg_l2_loss: 0.0652 - loss: 0.4465 - learning_rate: 0.0015 - gradient_norm: 4.6894 - val_det_loss: 0.3644 - val_cls_loss: 0.2323 - val_box_loss: 0.0026 - val_reg_l2_loss: 0.0652 - val_loss: 0.4296\n",
            "Epoch 126/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3483 - cls_loss: 0.2165 - box_loss: 0.0026 - reg_l2_loss: 0.0652 - loss: 0.4136 - learning_rate: 0.0015 - gradient_norm: 4.19192024-04-24 08:47:18.053415: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3485 - cls_loss: 0.2155 - box_loss: 0.0027 - reg_l2_loss: 0.0652 - loss: 0.4137 - learning_rate: 0.0015 - gradient_norm: 4.1914 - val_det_loss: 0.3855 - val_cls_loss: 0.2385 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4508\n",
            "Epoch 127/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3368 - cls_loss: 0.2101 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.4020 - learning_rate: 0.0015 - gradient_norm: 3.97922024-04-24 08:48:19.282577: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.3345 - cls_loss: 0.2091 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.3997 - learning_rate: 0.0015 - gradient_norm: 3.9254 - val_det_loss: 0.3879 - val_cls_loss: 0.2427 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4531\n",
            "Epoch 128/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4158 - cls_loss: 0.2626 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4810 - learning_rate: 0.0014 - gradient_norm: 5.09552024-04-24 08:49:32.992911: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.4127 - cls_loss: 0.2601 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4779 - learning_rate: 0.0014 - gradient_norm: 5.0591 - val_det_loss: 0.3545 - val_cls_loss: 0.2274 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0652 - val_loss: 0.4198\n",
            "Epoch 129/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3405 - cls_loss: 0.2095 - box_loss: 0.0026 - reg_l2_loss: 0.0652 - loss: 0.4057 - learning_rate: 0.0014 - gradient_norm: 3.90272024-04-24 08:50:42.166828: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3307 - cls_loss: 0.2049 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.3959 - learning_rate: 0.0014 - gradient_norm: 3.8351 - val_det_loss: 0.3451 - val_cls_loss: 0.2258 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0652 - val_loss: 0.4104\n",
            "Epoch 130/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4266 - cls_loss: 0.2695 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4918 - learning_rate: 0.0014 - gradient_norm: 5.44172024-04-24 08:51:45.127017: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 87s 5s/step - det_loss: 0.4437 - cls_loss: 0.2799 - box_loss: 0.0033 - reg_l2_loss: 0.0652 - loss: 0.5090 - learning_rate: 0.0014 - gradient_norm: 5.5090 - val_det_loss: 0.3583 - val_cls_loss: 0.2296 - val_box_loss: 0.0026 - val_reg_l2_loss: 0.0652 - val_loss: 0.4236\n",
            "Epoch 131/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3813 - cls_loss: 0.2468 - box_loss: 0.0027 - reg_l2_loss: 0.0652 - loss: 0.4466 - learning_rate: 0.0013 - gradient_norm: 4.32272024-04-24 08:53:09.816128: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 66s 4s/step - det_loss: 0.3702 - cls_loss: 0.2403 - box_loss: 0.0026 - reg_l2_loss: 0.0652 - loss: 0.4355 - learning_rate: 0.0013 - gradient_norm: 4.2387 - val_det_loss: 0.3824 - val_cls_loss: 0.2395 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4477\n",
            "Epoch 132/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3701 - cls_loss: 0.2217 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4354 - learning_rate: 0.0013 - gradient_norm: 4.43652024-04-24 08:54:18.150239: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.3714 - cls_loss: 0.2211 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4366 - learning_rate: 0.0013 - gradient_norm: 4.3687 - val_det_loss: 0.3969 - val_cls_loss: 0.2495 - val_box_loss: 0.0029 - val_reg_l2_loss: 0.0652 - val_loss: 0.4621\n",
            "Epoch 133/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3236 - cls_loss: 0.2027 - box_loss: 0.0024 - reg_l2_loss: 0.0652 - loss: 0.3889 - learning_rate: 0.0013 - gradient_norm: 4.11502024-04-24 08:55:29.670338: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.3297 - cls_loss: 0.2059 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.3949 - learning_rate: 0.0013 - gradient_norm: 4.1634 - val_det_loss: 0.3667 - val_cls_loss: 0.2326 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4319\n",
            "Epoch 134/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3869 - cls_loss: 0.2314 - box_loss: 0.0031 - reg_l2_loss: 0.0652 - loss: 0.4522 - learning_rate: 0.0012 - gradient_norm: 5.17702024-04-24 08:56:34.424439: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3764 - cls_loss: 0.2265 - box_loss: 0.0030 - reg_l2_loss: 0.0652 - loss: 0.4416 - learning_rate: 0.0012 - gradient_norm: 4.9950 - val_det_loss: 0.3575 - val_cls_loss: 0.2250 - val_box_loss: 0.0027 - val_reg_l2_loss: 0.0652 - val_loss: 0.4228\n",
            "Epoch 135/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3829 - cls_loss: 0.2504 - box_loss: 0.0026 - reg_l2_loss: 0.0652 - loss: 0.4481 - learning_rate: 0.0012 - gradient_norm: 5.09472024-04-24 08:57:39.319286: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 78s 5s/step - det_loss: 0.3734 - cls_loss: 0.2466 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.4387 - learning_rate: 0.0012 - gradient_norm: 5.0570 - val_det_loss: 0.3374 - val_cls_loss: 0.2161 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0652 - val_loss: 0.4027\n",
            "Epoch 136/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3656 - cls_loss: 0.2363 - box_loss: 0.0026 - reg_l2_loss: 0.0652 - loss: 0.4308 - learning_rate: 0.0012 - gradient_norm: 4.58322024-04-24 08:58:58.082226: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 66s 4s/step - det_loss: 0.3576 - cls_loss: 0.2317 - box_loss: 0.0025 - reg_l2_loss: 0.0652 - loss: 0.4228 - learning_rate: 0.0012 - gradient_norm: 4.4676 - val_det_loss: 0.3209 - val_cls_loss: 0.2038 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0652 - val_loss: 0.3862\n",
            "Epoch 137/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3056 - cls_loss: 0.2044 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3709 - learning_rate: 0.0011 - gradient_norm: 3.77822024-04-24 09:00:01.835144: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.3012 - cls_loss: 0.2024 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3664 - learning_rate: 0.0011 - gradient_norm: 3.7705 - val_det_loss: 0.3371 - val_cls_loss: 0.2136 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0653 - val_loss: 0.4024\n",
            "Epoch 138/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3463 - cls_loss: 0.2221 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4116 - learning_rate: 0.0011 - gradient_norm: 4.02612024-04-24 09:01:15.100813: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3390 - cls_loss: 0.2196 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.4043 - learning_rate: 0.0011 - gradient_norm: 3.9487 - val_det_loss: 0.3326 - val_cls_loss: 0.2173 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3979\n",
            "Epoch 139/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3536 - cls_loss: 0.2072 - box_loss: 0.0029 - reg_l2_loss: 0.0653 - loss: 0.4188 - learning_rate: 0.0011 - gradient_norm: 4.43162024-04-24 09:02:20.668394: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3628 - cls_loss: 0.2090 - box_loss: 0.0031 - reg_l2_loss: 0.0653 - loss: 0.4280 - learning_rate: 0.0011 - gradient_norm: 4.4974 - val_det_loss: 0.3228 - val_cls_loss: 0.2094 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3880\n",
            "Epoch 140/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3386 - cls_loss: 0.2098 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4038 - learning_rate: 0.0010 - gradient_norm: 4.19802024-04-24 09:03:23.351621: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 87s 5s/step - det_loss: 0.3276 - cls_loss: 0.2042 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3928 - learning_rate: 0.0010 - gradient_norm: 4.0447 - val_det_loss: 0.3184 - val_cls_loss: 0.2094 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3837\n",
            "Epoch 141/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2961 - cls_loss: 0.1957 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3613 - learning_rate: 9.9343e-04 - gradient_norm: 4.00872024-04-24 09:04:48.748004: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.2954 - cls_loss: 0.1976 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3606 - learning_rate: 9.9261e-04 - gradient_norm: 4.0285 - val_det_loss: 0.3214 - val_cls_loss: 0.2059 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3867\n",
            "Epoch 142/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3149 - cls_loss: 0.2102 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3802 - learning_rate: 9.6212e-04 - gradient_norm: 3.67632024-04-24 09:05:49.987307: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3121 - cls_loss: 0.2089 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3773 - learning_rate: 9.6131e-04 - gradient_norm: 3.7010 - val_det_loss: 0.3095 - val_cls_loss: 0.1986 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3747\n",
            "Epoch 143/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3685 - cls_loss: 0.2346 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4337 - learning_rate: 9.3120e-04 - gradient_norm: 4.97552024-04-24 09:06:50.727027: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3639 - cls_loss: 0.2332 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4292 - learning_rate: 9.3040e-04 - gradient_norm: 5.0037 - val_det_loss: 0.3253 - val_cls_loss: 0.1994 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0653 - val_loss: 0.3905\n",
            "Epoch 144/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3222 - cls_loss: 0.1993 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3875 - learning_rate: 9.0067e-04 - gradient_norm: 4.58262024-04-24 09:07:51.706221: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3216 - cls_loss: 0.1997 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3868 - learning_rate: 8.9988e-04 - gradient_norm: 4.5408 - val_det_loss: 0.3186 - val_cls_loss: 0.2035 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3838\n",
            "Epoch 145/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3621 - cls_loss: 0.2318 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4274 - learning_rate: 8.7053e-04 - gradient_norm: 4.26682024-04-24 09:08:51.686335: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 75s 5s/step - det_loss: 0.3703 - cls_loss: 0.2367 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4355 - learning_rate: 8.6975e-04 - gradient_norm: 4.3763 - val_det_loss: 0.3197 - val_cls_loss: 0.2033 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3850\n",
            "Epoch 146/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3172 - cls_loss: 0.2031 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3824 - learning_rate: 8.4081e-04 - gradient_norm: 3.99602024-04-24 09:10:07.309221: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.3125 - cls_loss: 0.2006 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3777 - learning_rate: 8.4004e-04 - gradient_norm: 4.0464 - val_det_loss: 0.3262 - val_cls_loss: 0.2099 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3915\n",
            "Epoch 147/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3813 - cls_loss: 0.2464 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4465 - learning_rate: 8.1149e-04 - gradient_norm: 4.99822024-04-24 09:11:18.647040: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.3731 - cls_loss: 0.2424 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4384 - learning_rate: 8.1073e-04 - gradient_norm: 4.8656 - val_det_loss: 0.3416 - val_cls_loss: 0.2177 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0653 - val_loss: 0.4069\n",
            "Epoch 148/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3417 - cls_loss: 0.2188 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4069 - learning_rate: 7.8260e-04 - gradient_norm: 4.75072024-04-24 09:12:18.029175: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.3384 - cls_loss: 0.2179 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.4036 - learning_rate: 7.8185e-04 - gradient_norm: 4.6276 - val_det_loss: 0.3386 - val_cls_loss: 0.2155 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0653 - val_loss: 0.4039\n",
            "Epoch 149/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3361 - cls_loss: 0.2120 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4014 - learning_rate: 7.5414e-04 - gradient_norm: 4.37942024-04-24 09:13:17.382757: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3364 - cls_loss: 0.2130 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4016 - learning_rate: 7.5340e-04 - gradient_norm: 4.3707 - val_det_loss: 0.3383 - val_cls_loss: 0.2184 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0653 - val_loss: 0.4036\n",
            "Epoch 150/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3896 - cls_loss: 0.2288 - box_loss: 0.0032 - reg_l2_loss: 0.0653 - loss: 0.4548 - learning_rate: 7.2611e-04 - gradient_norm: 5.39882024-04-24 09:14:22.724259: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 80s 5s/step - det_loss: 0.3763 - cls_loss: 0.2232 - box_loss: 0.0031 - reg_l2_loss: 0.0653 - loss: 0.4416 - learning_rate: 7.2538e-04 - gradient_norm: 5.1791 - val_det_loss: 0.3543 - val_cls_loss: 0.2280 - val_box_loss: 0.0025 - val_reg_l2_loss: 0.0653 - val_loss: 0.4196\n",
            "Epoch 151/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3247 - cls_loss: 0.2040 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3899 - learning_rate: 6.9852e-04 - gradient_norm: 4.20442024-04-24 09:15:36.607257: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3243 - cls_loss: 0.2040 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3896 - learning_rate: 6.9780e-04 - gradient_norm: 4.2511 - val_det_loss: 0.3317 - val_cls_loss: 0.2145 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3970\n",
            "Epoch 152/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3048 - cls_loss: 0.1984 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3700 - learning_rate: 6.7138e-04 - gradient_norm: 4.44382024-04-24 09:16:36.258686: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3061 - cls_loss: 0.1988 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3714 - learning_rate: 6.7068e-04 - gradient_norm: 4.4793 - val_det_loss: 0.3260 - val_cls_loss: 0.2108 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3912\n",
            "Epoch 153/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3115 - cls_loss: 0.1959 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3768 - learning_rate: 6.4470e-04 - gradient_norm: 3.66552024-04-24 09:17:37.243328: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3233 - cls_loss: 0.2075 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3885 - learning_rate: 6.4401e-04 - gradient_norm: 4.0174 - val_det_loss: 0.3241 - val_cls_loss: 0.2128 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3893\n",
            "Epoch 154/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3116 - cls_loss: 0.1895 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3769 - learning_rate: 6.1848e-04 - gradient_norm: 3.46792024-04-24 09:18:40.546957: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.3099 - cls_loss: 0.1885 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3752 - learning_rate: 6.1780e-04 - gradient_norm: 3.4679 - val_det_loss: 0.3195 - val_cls_loss: 0.2096 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3848\n",
            "Epoch 155/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3448 - cls_loss: 0.2108 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4101 - learning_rate: 5.9272e-04 - gradient_norm: 5.11812024-04-24 09:19:55.459027: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 79s 5s/step - det_loss: 0.3382 - cls_loss: 0.2074 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4034 - learning_rate: 5.9206e-04 - gradient_norm: 5.0695 - val_det_loss: 0.3256 - val_cls_loss: 0.2137 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3908\n",
            "Epoch 156/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3122 - cls_loss: 0.1978 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3775 - learning_rate: 5.6745e-04 - gradient_norm: 3.79722024-04-24 09:21:11.400075: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 71s 4s/step - det_loss: 0.3180 - cls_loss: 0.2035 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3832 - learning_rate: 5.6679e-04 - gradient_norm: 3.9176 - val_det_loss: 0.3329 - val_cls_loss: 0.2166 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3982\n",
            "Epoch 157/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3304 - cls_loss: 0.2076 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3957 - learning_rate: 5.4265e-04 - gradient_norm: 4.25792024-04-24 09:22:22.930910: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3264 - cls_loss: 0.2071 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3917 - learning_rate: 5.4201e-04 - gradient_norm: 4.4760 - val_det_loss: 0.3390 - val_cls_loss: 0.2176 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0653 - val_loss: 0.4042\n",
            "Epoch 158/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3350 - cls_loss: 0.2063 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4003 - learning_rate: 5.1835e-04 - gradient_norm: 4.60772024-04-24 09:23:22.417018: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.3436 - cls_loss: 0.2062 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4088 - learning_rate: 5.1772e-04 - gradient_norm: 4.5768 - val_det_loss: 0.3375 - val_cls_loss: 0.2181 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0653 - val_loss: 0.4028\n",
            "Epoch 159/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3184 - cls_loss: 0.2055 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3837 - learning_rate: 4.9453e-04 - gradient_norm: 3.51852024-04-24 09:24:26.457147: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3200 - cls_loss: 0.2059 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3853 - learning_rate: 4.9392e-04 - gradient_norm: 3.4819 - val_det_loss: 0.3386 - val_cls_loss: 0.2183 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0653 - val_loss: 0.4039\n",
            "Epoch 160/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3048 - cls_loss: 0.1925 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3701 - learning_rate: 4.7122e-04 - gradient_norm: 3.95022024-04-24 09:25:25.256249: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 73s 4s/step - det_loss: 0.3035 - cls_loss: 0.1909 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3687 - learning_rate: 4.7062e-04 - gradient_norm: 3.8608 - val_det_loss: 0.3361 - val_cls_loss: 0.2176 - val_box_loss: 0.0024 - val_reg_l2_loss: 0.0653 - val_loss: 0.4013\n",
            "Epoch 161/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3225 - cls_loss: 0.2113 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3878 - learning_rate: 4.4841e-04 - gradient_norm: 4.28452024-04-24 09:26:36.778544: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 4s/step - det_loss: 0.3283 - cls_loss: 0.2149 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3935 - learning_rate: 4.4782e-04 - gradient_norm: 4.6021 - val_det_loss: 0.3305 - val_cls_loss: 0.2152 - val_box_loss: 0.0023 - val_reg_l2_loss: 0.0653 - val_loss: 0.3957\n",
            "Epoch 162/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2610 - cls_loss: 0.1758 - box_loss: 0.0017 - reg_l2_loss: 0.0653 - loss: 0.3263 - learning_rate: 4.2612e-04 - gradient_norm: 2.86632024-04-24 09:27:35.868820: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.2671 - cls_loss: 0.1774 - box_loss: 0.0018 - reg_l2_loss: 0.0653 - loss: 0.3324 - learning_rate: 4.2554e-04 - gradient_norm: 2.9472 - val_det_loss: 0.3224 - val_cls_loss: 0.2114 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3876\n",
            "Epoch 163/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3473 - cls_loss: 0.2127 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4126 - learning_rate: 4.0434e-04 - gradient_norm: 4.81862024-04-24 09:28:40.529581: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3665 - cls_loss: 0.2298 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4318 - learning_rate: 4.0378e-04 - gradient_norm: 5.1065 - val_det_loss: 0.3269 - val_cls_loss: 0.2145 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3922\n",
            "Epoch 164/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3302 - cls_loss: 0.2078 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3954 - learning_rate: 3.8308e-04 - gradient_norm: 4.78572024-04-24 09:29:40.894691: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3446 - cls_loss: 0.2147 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4099 - learning_rate: 3.8253e-04 - gradient_norm: 4.8403 - val_det_loss: 0.3273 - val_cls_loss: 0.2149 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3926\n",
            "Epoch 165/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2967 - cls_loss: 0.1908 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3619 - learning_rate: 3.6235e-04 - gradient_norm: 4.78462024-04-24 09:30:40.792082: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 82s 5s/step - det_loss: 0.3065 - cls_loss: 0.1945 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3718 - learning_rate: 3.6182e-04 - gradient_norm: 5.0451 - val_det_loss: 0.3288 - val_cls_loss: 0.2165 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3941\n",
            "Epoch 166/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3379 - cls_loss: 0.2120 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4032 - learning_rate: 3.4215e-04 - gradient_norm: 4.19602024-04-24 09:32:01.905762: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3287 - cls_loss: 0.2079 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3940 - learning_rate: 3.4163e-04 - gradient_norm: 4.0881 - val_det_loss: 0.3236 - val_cls_loss: 0.2149 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3888\n",
            "Epoch 167/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3043 - cls_loss: 0.1886 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3695 - learning_rate: 3.2249e-04 - gradient_norm: 3.66472024-04-24 09:33:06.182140: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3047 - cls_loss: 0.1885 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3699 - learning_rate: 3.2199e-04 - gradient_norm: 3.6456 - val_det_loss: 0.3197 - val_cls_loss: 0.2115 - val_box_loss: 0.0022 - val_reg_l2_loss: 0.0653 - val_loss: 0.3850\n",
            "Epoch 168/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2799 - cls_loss: 0.1846 - box_loss: 0.0019 - reg_l2_loss: 0.0653 - loss: 0.3451 - learning_rate: 3.0338e-04 - gradient_norm: 3.59262024-04-24 09:34:06.683006: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.2758 - cls_loss: 0.1821 - box_loss: 0.0019 - reg_l2_loss: 0.0653 - loss: 0.3410 - learning_rate: 3.0289e-04 - gradient_norm: 3.5605 - val_det_loss: 0.3146 - val_cls_loss: 0.2085 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3799\n",
            "Epoch 169/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3347 - cls_loss: 0.1992 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.3999 - learning_rate: 2.8481e-04 - gradient_norm: 3.99882024-04-24 09:35:07.069958: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3309 - cls_loss: 0.1965 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.3962 - learning_rate: 2.8433e-04 - gradient_norm: 3.8848 - val_det_loss: 0.3098 - val_cls_loss: 0.2061 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3751\n",
            "Epoch 170/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3338 - cls_loss: 0.2031 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.3990 - learning_rate: 2.6679e-04 - gradient_norm: 4.62812024-04-24 09:36:09.454975: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 76s 5s/step - det_loss: 0.3264 - cls_loss: 0.2001 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3916 - learning_rate: 2.6633e-04 - gradient_norm: 4.5535 - val_det_loss: 0.3123 - val_cls_loss: 0.2075 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3776\n",
            "Epoch 171/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2889 - cls_loss: 0.1879 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3541 - learning_rate: 2.4933e-04 - gradient_norm: 3.44142024-04-24 09:37:23.648613: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.2966 - cls_loss: 0.1879 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3618 - learning_rate: 2.4888e-04 - gradient_norm: 3.4219 - val_det_loss: 0.3108 - val_cls_loss: 0.2059 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3761\n",
            "Epoch 172/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3566 - cls_loss: 0.2166 - box_loss: 0.0028 - reg_l2_loss: 0.0653 - loss: 0.4219 - learning_rate: 2.3243e-04 - gradient_norm: 4.05782024-04-24 09:38:25.669544: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3504 - cls_loss: 0.2120 - box_loss: 0.0028 - reg_l2_loss: 0.0653 - loss: 0.4157 - learning_rate: 2.3200e-04 - gradient_norm: 4.0335 - val_det_loss: 0.3057 - val_cls_loss: 0.2028 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3709\n",
            "Epoch 173/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3466 - cls_loss: 0.2082 - box_loss: 0.0028 - reg_l2_loss: 0.0653 - loss: 0.4119 - learning_rate: 2.1610e-04 - gradient_norm: 4.87552024-04-24 09:39:28.155652: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3427 - cls_loss: 0.2066 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4080 - learning_rate: 2.1568e-04 - gradient_norm: 4.8204 - val_det_loss: 0.3048 - val_cls_loss: 0.2026 - val_box_loss: 0.0020 - val_reg_l2_loss: 0.0653 - val_loss: 0.3700\n",
            "Epoch 174/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3251 - cls_loss: 0.2017 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3904 - learning_rate: 2.0033e-04 - gradient_norm: 3.83952024-04-24 09:40:31.296561: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.3218 - cls_loss: 0.2009 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3871 - learning_rate: 1.9993e-04 - gradient_norm: 3.7765 - val_det_loss: 0.3064 - val_cls_loss: 0.2035 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3716\n",
            "Epoch 175/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3338 - cls_loss: 0.2170 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3991 - learning_rate: 1.8514e-04 - gradient_norm: 4.06572024-04-24 09:41:33.419955: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 86s 5s/step - det_loss: 0.3252 - cls_loss: 0.2126 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3905 - learning_rate: 1.8475e-04 - gradient_norm: 3.9280 - val_det_loss: 0.3054 - val_cls_loss: 0.2017 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3707\n",
            "Epoch 176/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3282 - cls_loss: 0.2059 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3935 - learning_rate: 1.7052e-04 - gradient_norm: 4.61822024-04-24 09:43:01.265672: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 63s 4s/step - det_loss: 0.3283 - cls_loss: 0.2044 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3935 - learning_rate: 1.7015e-04 - gradient_norm: 4.5742 - val_det_loss: 0.3051 - val_cls_loss: 0.2010 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3704\n",
            "Epoch 177/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3019 - cls_loss: 0.1991 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3672 - learning_rate: 1.5649e-04 - gradient_norm: 4.32332024-04-24 09:44:01.556548: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3007 - cls_loss: 0.1977 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3660 - learning_rate: 1.5613e-04 - gradient_norm: 4.2731 - val_det_loss: 0.3044 - val_cls_loss: 0.2008 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3697\n",
            "Epoch 178/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2856 - cls_loss: 0.1843 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3509 - learning_rate: 1.4304e-04 - gradient_norm: 3.81682024-04-24 09:45:03.689932: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.2824 - cls_loss: 0.1825 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3476 - learning_rate: 1.4270e-04 - gradient_norm: 3.7631 - val_det_loss: 0.3038 - val_cls_loss: 0.1999 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3690\n",
            "Epoch 179/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3306 - cls_loss: 0.2075 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.3959 - learning_rate: 1.3018e-04 - gradient_norm: 3.97682024-04-24 09:46:10.966671: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 68s 4s/step - det_loss: 0.3228 - cls_loss: 0.2036 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3881 - learning_rate: 1.2985e-04 - gradient_norm: 3.8594 - val_det_loss: 0.3056 - val_cls_loss: 0.2008 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3708\n",
            "Epoch 180/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2817 - cls_loss: 0.1800 - box_loss: 0.0020 - reg_l2_loss: 0.0653 - loss: 0.3469 - learning_rate: 1.1790e-04 - gradient_norm: 3.96382024-04-24 09:47:12.577364: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 84s 5s/step - det_loss: 0.2821 - cls_loss: 0.1791 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3474 - learning_rate: 1.1759e-04 - gradient_norm: 4.0973 - val_det_loss: 0.3060 - val_cls_loss: 0.2018 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3713\n",
            "Epoch 181/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3291 - cls_loss: 0.2109 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3943 - learning_rate: 1.0623e-04 - gradient_norm: 3.84312024-04-24 09:48:34.486718: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3498 - cls_loss: 0.2245 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4150 - learning_rate: 1.0593e-04 - gradient_norm: 3.8987 - val_det_loss: 0.3059 - val_cls_loss: 0.2015 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3712\n",
            "Epoch 182/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3286 - cls_loss: 0.2092 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.3939 - learning_rate: 9.5143e-05 - gradient_norm: 4.33782024-04-24 09:49:34.837691: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3274 - cls_loss: 0.2107 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3926 - learning_rate: 9.4864e-05 - gradient_norm: 4.3377 - val_det_loss: 0.3067 - val_cls_loss: 0.2023 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3720\n",
            "Epoch 183/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2700 - cls_loss: 0.1805 - box_loss: 0.0018 - reg_l2_loss: 0.0653 - loss: 0.3353 - learning_rate: 8.4660e-05 - gradient_norm: 3.24322024-04-24 09:50:36.685471: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.2651 - cls_loss: 0.1781 - box_loss: 0.0017 - reg_l2_loss: 0.0653 - loss: 0.3303 - learning_rate: 8.4397e-05 - gradient_norm: 3.2256 - val_det_loss: 0.3062 - val_cls_loss: 0.2021 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3714\n",
            "Epoch 184/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3434 - cls_loss: 0.2074 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4087 - learning_rate: 7.4780e-05 - gradient_norm: 4.16332024-04-24 09:51:38.957170: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.3405 - cls_loss: 0.2068 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4058 - learning_rate: 7.4531e-05 - gradient_norm: 4.0867 - val_det_loss: 0.3069 - val_cls_loss: 0.2024 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3721\n",
            "Epoch 185/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3262 - cls_loss: 0.1947 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.3915 - learning_rate: 6.5503e-05 - gradient_norm: 3.94632024-04-24 09:52:42.334573: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 96s 6s/step - det_loss: 0.3217 - cls_loss: 0.1937 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.3870 - learning_rate: 6.5271e-05 - gradient_norm: 3.9080 - val_det_loss: 0.3070 - val_cls_loss: 0.2025 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3723\n",
            "Epoch 186/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3094 - cls_loss: 0.1944 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3746 - learning_rate: 5.6833e-05 - gradient_norm: 4.58662024-04-24 09:54:15.521248: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3110 - cls_loss: 0.1962 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3762 - learning_rate: 5.6617e-05 - gradient_norm: 4.6192 - val_det_loss: 0.3088 - val_cls_loss: 0.2036 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3741\n",
            "Epoch 187/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3028 - cls_loss: 0.1987 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3680 - learning_rate: 4.8772e-05 - gradient_norm: 4.02832024-04-24 09:55:13.789676: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 59s 3s/step - det_loss: 0.3016 - cls_loss: 0.1986 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3668 - learning_rate: 4.8572e-05 - gradient_norm: 4.0360 - val_det_loss: 0.3095 - val_cls_loss: 0.2040 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3748\n",
            "Epoch 188/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3336 - cls_loss: 0.2022 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.3988 - learning_rate: 4.1322e-05 - gradient_norm: 4.30262024-04-24 09:56:19.831251: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.3350 - cls_loss: 0.2020 - box_loss: 0.0027 - reg_l2_loss: 0.0653 - loss: 0.4003 - learning_rate: 4.1138e-05 - gradient_norm: 4.6191 - val_det_loss: 0.3078 - val_cls_loss: 0.2030 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3731\n",
            "Epoch 189/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3493 - cls_loss: 0.2170 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4145 - learning_rate: 3.4485e-05 - gradient_norm: 4.84522024-04-24 09:57:21.342379: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 72s 4s/step - det_loss: 0.3447 - cls_loss: 0.2149 - box_loss: 0.0026 - reg_l2_loss: 0.0653 - loss: 0.4099 - learning_rate: 3.4317e-05 - gradient_norm: 4.7879 - val_det_loss: 0.3085 - val_cls_loss: 0.2037 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3738\n",
            "Epoch 190/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2895 - cls_loss: 0.1852 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3548 - learning_rate: 2.8262e-05 - gradient_norm: 3.46922024-04-24 09:58:30.220855: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 81s 5s/step - det_loss: 0.2871 - cls_loss: 0.1845 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3524 - learning_rate: 2.8110e-05 - gradient_norm: 3.4438 - val_det_loss: 0.3078 - val_cls_loss: 0.2028 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3731\n",
            "Epoch 191/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2943 - cls_loss: 0.1892 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3596 - learning_rate: 2.2656e-05 - gradient_norm: 3.83252024-04-24 09:59:53.728944: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 61s 4s/step - det_loss: 0.3007 - cls_loss: 0.1919 - box_loss: 0.0022 - reg_l2_loss: 0.0653 - loss: 0.3660 - learning_rate: 2.2519e-05 - gradient_norm: 3.8103 - val_det_loss: 0.3070 - val_cls_loss: 0.2022 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3723\n",
            "Epoch 192/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2865 - cls_loss: 0.1822 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3517 - learning_rate: 1.7666e-05 - gradient_norm: 4.09622024-04-24 10:00:54.379895: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 70s 4s/step - det_loss: 0.2847 - cls_loss: 0.1815 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3499 - learning_rate: 1.7546e-05 - gradient_norm: 4.0129 - val_det_loss: 0.3065 - val_cls_loss: 0.2016 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3718\n",
            "Epoch 193/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3184 - cls_loss: 0.2032 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3836 - learning_rate: 1.3296e-05 - gradient_norm: 4.12262024-04-24 10:02:06.951199: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 64s 4s/step - det_loss: 0.3160 - cls_loss: 0.2014 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3812 - learning_rate: 1.3192e-05 - gradient_norm: 4.0624 - val_det_loss: 0.3076 - val_cls_loss: 0.2018 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3729\n",
            "Epoch 194/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2700 - cls_loss: 0.1753 - box_loss: 0.0019 - reg_l2_loss: 0.0653 - loss: 0.3353 - learning_rate: 9.5447e-06 - gradient_norm: 3.42812024-04-24 10:03:09.374738: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 62s 4s/step - det_loss: 0.2678 - cls_loss: 0.1743 - box_loss: 0.0019 - reg_l2_loss: 0.0653 - loss: 0.3330 - learning_rate: 9.4571e-06 - gradient_norm: 3.4134 - val_det_loss: 0.3080 - val_cls_loss: 0.2021 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3732\n",
            "Epoch 195/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3440 - cls_loss: 0.2228 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.4093 - learning_rate: 6.4144e-06 - gradient_norm: 5.24882024-04-24 10:04:11.994680: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 76s 5s/step - det_loss: 0.3401 - cls_loss: 0.2189 - box_loss: 0.0024 - reg_l2_loss: 0.0653 - loss: 0.4053 - learning_rate: 6.3430e-06 - gradient_norm: 5.1053 - val_det_loss: 0.3084 - val_cls_loss: 0.2027 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3736\n",
            "Epoch 196/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.4022 - cls_loss: 0.2363 - box_loss: 0.0033 - reg_l2_loss: 0.0653 - loss: 0.4675 - learning_rate: 3.9055e-06 - gradient_norm: 4.70282024-04-24 10:05:25.667913: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.4000 - cls_loss: 0.2367 - box_loss: 0.0033 - reg_l2_loss: 0.0653 - loss: 0.4653 - learning_rate: 3.8504e-06 - gradient_norm: 4.8480 - val_det_loss: 0.3076 - val_cls_loss: 0.2022 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3728\n",
            "Epoch 197/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3397 - cls_loss: 0.2122 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4049 - learning_rate: 2.0187e-06 - gradient_norm: 4.15312024-04-24 10:06:27.646549: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 65s 4s/step - det_loss: 0.3396 - cls_loss: 0.2124 - box_loss: 0.0025 - reg_l2_loss: 0.0653 - loss: 0.4048 - learning_rate: 1.9799e-06 - gradient_norm: 4.1063 - val_det_loss: 0.3075 - val_cls_loss: 0.2025 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3728\n",
            "Epoch 198/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.3450 - cls_loss: 0.2069 - box_loss: 0.0028 - reg_l2_loss: 0.0653 - loss: 0.4102 - learning_rate: 7.5452e-07 - gradient_norm: 4.31392024-04-24 10:07:30.311171: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 60s 4s/step - det_loss: 0.3666 - cls_loss: 0.2150 - box_loss: 0.0030 - reg_l2_loss: 0.0653 - loss: 0.4318 - learning_rate: 7.3200e-07 - gradient_norm: 4.3862 - val_det_loss: 0.3078 - val_cls_loss: 0.2024 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3731\n",
            "Epoch 199/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2979 - cls_loss: 0.1837 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3632 - learning_rate: 1.1319e-07 - gradient_norm: 3.68502024-04-24 10:08:35.752328: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 75s 5s/step - det_loss: 0.3013 - cls_loss: 0.1848 - box_loss: 0.0023 - reg_l2_loss: 0.0653 - loss: 0.3665 - learning_rate: 1.0696e-07 - gradient_norm: 3.6221 - val_det_loss: 0.3077 - val_cls_loss: 0.2028 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3729\n",
            "Epoch 200/200\n",
            "17/17 [==============================] - ETA: 0s - det_loss: 0.2829 - cls_loss: 0.1803 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3482 - learning_rate: 9.4859e-08 - gradient_norm: 3.59382024-04-24 10:09:47.193396: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "17/17 [==============================] - 83s 5s/step - det_loss: 0.2847 - cls_loss: 0.1816 - box_loss: 0.0021 - reg_l2_loss: 0.0653 - loss: 0.3500 - learning_rate: 1.0492e-07 - gradient_norm: 3.5544 - val_det_loss: 0.3056 - val_cls_loss: 0.2020 - val_box_loss: 0.0021 - val_reg_l2_loss: 0.0653 - val_loss: 0.3708\n",
            "2024-04-24 10:10:24.470984: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.\n",
            "2/2 [==============================] - 39s 6s/step\n",
            "\n",
            "2024-04-24 10:11:08.516743: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.\n",
            "2024-04-24 10:11:53.563653: W tensorflow/core/common_runtime/graph_constructor.cc:803] Node 'resample_p7/PartitionedCall' has 1 outputs but the _output_shapes attribute specifies shapes for 3 outputs. Output shapes may be inaccurate.\n",
            "2024-04-24 10:12:05.370208: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:357] Ignored output_format.\n",
            "2024-04-24 10:12:05.370355: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:360] Ignored drop_control_dependency.\n",
            "2024-04-24 10:12:05.378353: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/tmp0gybc320\n",
            "2024-04-24 10:12:05.638547: I tensorflow/cc/saved_model/reader.cc:78] Reading meta graph with tags { serve }\n",
            "2024-04-24 10:12:05.638694: I tensorflow/cc/saved_model/reader.cc:119] Reading SavedModel debug info (if present) from: /tmp/tmp0gybc320\n",
            "2024-04-24 10:12:06.477508: I tensorflow/cc/saved_model/loader.cc:228] Restoring SavedModel bundle.\n",
            "2024-04-24 10:12:11.189258: I tensorflow/cc/saved_model/loader.cc:212] Running initialization op on SavedModel bundle at path: /tmp/tmp0gybc320\n",
            "2024-04-24 10:12:13.385880: I tensorflow/cc/saved_model/loader.cc:301] SavedModel load for tags { serve }; Status: success: OK. Took 8007562 microseconds.\n",
            "2024-04-24 10:12:16.457452: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:237] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n",
            "2024-04-24 10:12:20.870325: I tensorflow/compiler/mlir/lite/flatbuffer_export.cc:1963] Estimated count of arithmetic ops: 1.756 G  ops, equivalently 0.878 G  MACs\n",
            "\n",
            "Estimated count of arithmetic ops: 1.756 G  ops, equivalently 0.878 G  MACs\n",
            "fully_quantize: 0, inference_type: 6, input_inference_type: 3, output_inference_type: 0\n",
            "2024-04-24 10:12:50.017771: I tensorflow/compiler/mlir/lite/flatbuffer_export.cc:1963] Estimated count of arithmetic ops: 1.756 G  ops, equivalently 0.878 G  MACs\n",
            "\n",
            "Estimated count of arithmetic ops: 1.756 G  ops, equivalently 0.878 G  MACs\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "%%shell\n",
        "eval \"$(conda shell.bash hook)\"\n",
        "conda activate myenv\n",
        "python /content/train.py"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}